Neural networks and micromechanics

Neural Networks and Micromechanics

Volumn , Issue , 2010, Pages 1-221

  Kussul, Ernst ^a   Baidyk, Tatiana ^a   Wunsch, Donald C ^b  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^b Missouri University of Science and Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84892338488     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-642-02535-8     Document Type: Book

References (326)

1. Eberhart R., Overview of Computational Intelligence and Biomedical Engineering Applications, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3, 1998, pp. 1125-1129.
2. Hui T., Brown D., Haynes B., Xinxian Wang, Embedded E-diagnostic for Distributed Industrial Machinery, IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, 2003, pp. 156-161.
3. Awadallah M., Morcos M., Application of AI Tools in Fault Diagnosis of Electrical Machines and Drives. An Overview, IEEE Transactions on Energy Conversion, 18, Issue 2, 2003, pp. 245-251.
4. Werbos P., Advanced Forecasting Methods for Global Crisis Warning and Models of Intelligence. In: General Systems Yearbook, 22, 1977, pp. 25-38.
5. Prokhorov D., Wunsch D., Adaptive Critic Designs, IEEE Transactions on Neural Networks, 8, No. 5, 1997, pp. 997-1007.
6. Bottou L., Cortes C., Denker J., Drucker H., Guyon L., Jackel L., LeCun J., Muller U., Sackinger E., Simard P., Vapnik V., Comparison of Classifier Methods: A Case Study in Handwritten Digit Recognition. In: Proceedings of 12th IAPR International Conference on Pattern Recognition, 2, 1994, pp. 77-82.
7. Fukushima, K., Neocognitron: A Hierarchical Neural Network Capable of Visual Pattern Recognition, Neural Networks, 1, 1988, pp. 119-130.
8. Roska T., Rodriguez-Vazquez A., Toward Visual Microprocessors, Proceedings of the IEEE 90, Issue 7, July 2002, pp. 1244-1257.
9. Baidyk T., Application of Flat Image Recognition Technique for Automation of Micro Device Production, Proceedings of the International Conference on Advanced Intelligent Mechatronics AIM 2001, Italy, 2001, pp. 488-494.
10. Baidyk T., Kussul E., Makeyev O., Caballero A., Ruiz L., Carrera G., Velasco G., Flat Image Recognition in the Process of Microdevice Assembly, Pattern Recognition Letters, 25/1, 2004, pp. 107-118.
11. Kussul E., Micromechanics and the Perspectives of Neurocomputing. In: Neuron-like Networks and Neurocomputers, Kiev, Ukraine, 1993, pp. 66-75 (in Russian).
12. Kussul E., Rachkovskij D., Baidyk T., Talayev S., Micromechanical Engineering: A Basis for the Low-cost Manufacturing of Mechanical Microdevices Using Microequipment, Journal of Micromechanics and Microengineering, 6, 1996, pp. 410-425.
13. Kussul E.M., Rachkovskij D.A., Kasatkin A.M., Kasatkina L.M., Baidyk T.N., Lukovich V.V., Olshanikov V.S., Talayev S.A., Neural Network Applications in Micro Mechanics, Neural Systems of Information Processing, Kiev, 1996, Vol. 1, pp. 80-88 (in Russian).
14. Kussul E.M., Micromechanics as a New Area of Neural Network Applications. Proceedings of the 5th European Congress on Intelligent Techniques and Soft Computing. Aachen, Germany, 1997, Vol.1 pp. 521-523.
15. Kussul, E., Baidyk, T., Ruiz-Huerta, L., Caballero, A., Velasco, G., Kasatkina, L.: Development of Micromachine Tool Prototypes for Microfactories. Journal of Micromechanics and Microengineering, 12, 2002, pp. 795-812.
16. Wenxin Liu., Venayagamoorthy G., Wunsch D., A Heuristic Dynamic Programming Based Power System Stabilizer for a Turbogenerator in a Single Machine Power System. 39th IAS Annual Meeting on Industry Applications, 1, 2003, pp. 270-276.
17. Croce, F., Delfino, B., et al.: Operations and Management of the Electric System for Industrial Plants: An Expert System Prototype for Load-Shedding Operator Assistance. IEEE Transactions on Industry Applications 37, Issue 3, 2001, pp. 701-708.
18. Hecht-Nielsen, R., Neurocomputing. Addison-Wesley, 1991, pp. 433.
19. Kohonen, T., Self-Organization and Associative Memory, Springer-Verlag, Berlin, 1984.
20. Wasserman, Philip D., Neural Computing: Theory and practice, Van Nostrand Reinhold, Inc., 1989.
21. Ed., Browne, A., Neural Network Analysis, Architectures and Applications. Institute of Physics Publishing, 1997, pp. 264.
22. McCulloch, W. S., and Pitts W. A., Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Math. Biophysics, 5, 1943, pp. 115-133.
23. Hebb, D. O., The Organization of Behavior. A Neuropsychological Theory. Wiley, New York, 1949, pp. 335.
24. Rosenblatt, F., "The perceptron: A Probabilistic Model for Information Storage and Organization in the Brain, " Psychol. Rev., 65, pp. 386-408, 1958.
25. Rosenblatt, F., "Principles of Neurodynamics, " Spartan Books, Washington, D.C., 1962, pp. 616.
26. Diggavi, S. N., Shynk, J. J., Engel, I., Bershad, N. J., "On the Convergence Behavior of Rosenblatt's Perceptron Learning Algorithm", 1992 Conference Record of the 26 Asilomar Conference on Signals, Systems and Computers, Vol. 2, 1992, pp. 852-856.
27. Diggavi, S. N., Shynk, J. J., Bershad, N. J., Convergence Models for Rosenblatt's Perceptron Learning Algorithm, IEEE Transactions on Signal Processing, Vol. 43, Issue 7, July 1995, pp. 1696-1702.
28. Nagy, G., Neural Networks - Then and Now, IEEE Transactions on Neural Networks, Vol. 2, Issue 2, March 1991, pp. 316-318.
29. Kussul, E., Baidyk, T., Kasatkina, L., Lukovich, V., Rosenblatt Perceptrons for Handwritten Digit Recognition. Proceedings of International Joint Conference on Neural Networks "IJCNN'01", Washington, D.C., USA, July 15-19, 2001, pp. 1516-1521.
30. Kussul, E. M., Baidyk, T. N., Improved Method of Handwritten Digit Recognition Tested on MNIST Database, 15th International Conference on Vision Interface VI'2002, Calgary, Canada, 2002, pp. 192-197.
31. Baidyk, T. N., Kussul, E. M., Application of Neural Classifier for Flat Image Recognition in the Process of Microdevice Assembly, International Joint Conference on Neural Networks, IEEE, USA, Hawaii, May 12-17, 2002 Vol. 1, pp.160-164.
32. Makeyev, O., Neural Interpolator for Image Recognition in the Process of Microdevice Assembly. In IEEE IJCNN'2003, Portland, Oregon, USA, July 20-24, 2003, Vol. 3, pp. 2222-2226.
33. Baidyk, T., Kussul, E., Makeyev, O., Image Recognition System for Microdevice Assembly, Twenty-First IASTED International Multi-Conference on APPLIED INFORMATICS AI2003. Innsbruck, Austria, pp. 243-248.
34. Baidyk, T., Kussul, E., Makeyev, O., Caballero, A., Ruiz, L., Carrera, G., Velasco, G., Flat Image Recognition in the Process of Microdevice Assembly. Pattern Recognition Letters, 2004, Vol. 25/1, pp. 107-118.
35. Toledo, G. K., Kussul, E., Baidyk, T., Neural Classifier LIRA for Recognition of Micro Work Pieces and their Positions in the Processes of Microassembly and Micromanufacturing. Proceedings of the 7 All-Ukrainian International Conference, 11-15 October 2004, Kiev, Ukraine, p. 17-20.
36. Kussul, E., Baidyk, T., Improved Method of Handwritten Digit Recognition Tested on MNIST Database. Image and Vision Computing, 2004, Vol. 22/12, pp. 971-981.
37. Bottou, L., Cortes, C., Denker, J.S., Drucker, H., Guyon, L., Jackel, L.D., LeCun, J., Muller, U.A., Sackinger, E., Simard, P., Vapnik, V., Comparison of Classifier Methods: A Case Study in Handwritten Digit Recognition, Proceedings of 12th IAPR International Conference on Pattern Recognition, 1994, Vol. 2, pp. 77-82.
38. LeCun, Y., Bottou, L., Bengio, Y., Haffner, P., Gradient-Based Learning Applied to Document Recognition, Proceedings of the IEEE, Vol. 86, No. 11, November 1998, pp. 2278-2344.
39. Widrow, B., Hoff, M., Adaptive Switching Circuits, 1960 IRE WESCON Convention Record, New York, 1960, 96-104.
40. Widrow, B., Generalization and Information Storage in Networks of ADALINE Neurons. In: Self-Organizing Systems, Ed. Yovitts G., Spartan Books, Washington DC, 1962.
41. Minsky, M., and Papert, S., Perceptrons. An Introduction to Computational Geometry. The MIT Press. 1969.
42. Amosov, N., Modeling of Thinking and the Mind. New York: Spartan Books, 1967, pp. 192.
43. Amosov, N., Kussul, E., Fomenko, V., Transport Robot with Network Control System. The 4th International Joint Conference on Artificial Intelligence. Tbilisi, Georgia, 1975, pp. 727-730.
44. Amosov, N., Kasatkin, A., Kasatkina, L., Active Semantic Networks in Robots with Independent Control. The 4th International Joint Conference on Artificial Intelligence. Tbilisi, Georgia, 1975, pp. 722-726.
45. Ivahnenko, A. G., Self-organizing Systems with Positive Feedback Loops. IEEE Transactions on Automatic Control, Vol. 8, Issue 3, July 1963, pp. 247-254.
46. Kohonen, T., Correlation Matrix Memories. IEEE Trans. Computers, C-21 (4), 1972, pp. 353-359.
47. Fukushima, K., Visual Feature Extraction by a Multilayered Network of Analog Threshold Elements. IEEE Trans. Systems. Sci.&Cyber., SSC-5 (4), 1969, pp. 322-333.
48. Hopfield, J., Neural Networks and Physical Systems with Emergent Collective Computational Abilities. Proc. Nat. Acad. Sci., USA, Vol. 79, 1982, pp. 2554-2558.
49. Kussul, E. M., Baidyk, T. N., Design of a Neural-Like Network Architecture for Recognition of Object Shapes in Images. Soviet Journal of Automation and Information Sciences (formerly Soviet Automatic Control), Vol. 23, No. 5, 1990, pp. 53-59.
50. Artykutsa, S. Y., Baidyk, T. N., Kussul, E. M., Rachkovskij, D. A., Textura Recognition with Neurocomputers. Preprint 91-8, Institute of Cibernetics of Academy of Science of Ukraine, 1991, pp. 20 (in Russian).
51. Kussul, E. M., Rachkovskij, D. A., Baidyk, T. N., Associative-Projective Neural Networks: Architecture, Implementation, Applications. Proc. of the Fourth Intern. Conf. "Neural Networks & their Applications", EC2 Publishing, Nimes, France, Nov. 4-8, 1991, pp. 463-476.
52. Kussul, E. M., Rachkovskij, D. A., Baidyk, T. N., On Image Texture Recognition by Associative-Projective Neurocomputer. Proc. of the ANNIE'91 conference. "Intelligent engineering systems through artificial neural networks", Ed. by C.H.Dagli, S. Kumara and Y.C. Shin, ASME Press, 1991, pp. 453-458.
53. Amosov, N., Baidyk, T., Goltsev, A., Kasatkin, A., Kasatkina, L., Kussul, E., Rachkovskij, D., Neurocomputers and Intelligent Robots. Ed. by N. Amosov, Kiev, Naukova Dumka, 1991, pp. 272 (in Russian).
54. Baidyk, T.N., andKussul, E.M., Application ofGenetic Algorithms toOptimization ofNeuronet Recognition Devices, Cybernetics and System Analysis. Vol. 35, No. 5, 1999, pp. 700-707.
55. Hopfield, J., Neural Networks and Physical Systems with Emergent Collective Computational Abilities. Proc. Natl. Acad. Sci., 79, 1982, pp. 2554-2558.
56. Hopfield, J., Neurons with Grated Response Have Collective Computational Properties Like Those of Two-State Neurons. Proc. Natl. Acad. Sci., 81, 1984, pp. 3088-3092.
57. Grossberg, S., Studies of Mind and Brain: Neural Principles of Learning, Perception, Development, Cognition, and Motor Control. Reidel Press, Boston, 1982.
58. Carpenter, G., Grossberg, S., ART2: Self-organization of Stable Category Recognition Codes for Analog Input Patterns. Applied Optics, 26 (23), December 1987, pp. 4919-4930.
59. Kohonen, T., Self-organization and Associative Memory. Springer-Verlag, Berlin, 1984.
60. Fukushima, K., Neocognitron: A Hierarchical Neural Network Capable of Visual Pattern Recognition. Neural Networks, 1, 1988, pp. 119-130.
61. Rumelhart, D. E., Hinton, G. E., Williams, R., Learning Representations by Backpropagating Errors. Nature, 1986, 323, pp. 533-536.
62. Rumelhart, D., McClelland J. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, I & II, MIT Press, Cambridge MA, 1986.
63. Werbos, P., Beyond regression: New Tools for Prediction and Analysis in the Behavioral Sciences. Doctoral Dissertation, Appl. Math., Harvard University, November 1974.
64. Werbos, P., Approximate Dynamic Programming for Real-Time Control and Neural Modeling. Chapter 13 in Handbook of Intelligent Control: Neural, Fuzzy and Adaptive Approaches (White & Sofge, eds.), Van Nostrand Reinhold, New York, NY, 1992.
65. Werbos, P., New Directions in ACDs: Key to Intelligent Control an Understanding the brain. Proceedings of the International Joint Conference on Neural Networks, Vol. 3, 2000, pp. 61-66.
66. Salcedo-Sanz, S., Santiago-Mozos, R., Bousoño-Calzón, C., A Hybrid Hopfield Network- Simulated Annealing Approach for Frequency Assignment in Satellite Communications Systems. IEEE Transactions on Systems, Man, and Cybernetics. Part B, Vol. 34, No. 2, April 2004, pp. 1108-1116.
67. Xiaowei Sheng, Minghu Jiang. A Information Retrieval System Based on Automatic Query Expansion and Hopfield Network. Proceedings of the IEEE International Neural Networks and Signal Processing, Nanjing, China, December 14-17, 2003, pp. 1624-1627.
68. Carpenter, G. A., and Grossberg, S., A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine. Computer Vision, Graphics and Image Processing, 37, 1987, pp. 54-115.
69. Chiung-Yao Fang, Sei-Wang Chen, Chiou-Shann Fuh. Automatic Change Detection of Driving Environments in a Vision-Based Driver Assistance System. IEEE Transactions on Neural Networks, Vol. 14, No. 3, May 2003, pp. 646-657.
70. Mulder, S. A., Wunsch, D. C., Using Adaptive Resonance Theory and Local Optimization to Divide and Conquer Large Scale Traveling Salesman Problems. Proceedings of the International Joint Conference on Neural Networks, IJCNN03, 20-24 July 2003, Vol. 2, pp. 1408-1411.
71. Yu-Hu Cheng, Jian-Qiang Yi, Dong-Bin Zhao. Sensor-Based Navigation System Using a Modified AER-2 Network and Fuzzy Controller for an Indoor Mobile Robot. Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi'an, 2-5 November 2003, pp. 1374-1379.
72. Sugisaka, M., Dai, F., The Application of ART Neural Network to Image Processing for Controlling a Mobile Vehicle. Proceedings of the IEEE International Symposium on Industrial Electronics, ISIE 2001, 12-16 June 2001, Vol. 3, pp. 1951-1955.
73. Siew Chan Woo, Chee Peng Lim, R Osman. Development of a Speaker Recognition System usingWavelets and Artificial Neural Networks. Proceedings of the International Symposium on IntelligentMultimedia, Video and Speech Processing, Hong Kong, 2-4May 2001, pp. 413-416.
74. Morra, L., Lamberti, F., Demartini, C., A Neural Network Approach to Unsupervised Segmentation of Single-Channel MR Images. Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering, Capri Island, Italy, March 20-22, 2003, pp. 515-518.
75. Postolache, O., Girao, P., Pereira, S., Ramos, H., Wireless Water Quality Monitoring System Based on Field Point Technology and Kohonen Maps. Proceedings of IEEE Canadian Conference on Electrical and Computer Engineering, Montreal, May 4-7, Vol. 3, 2003, pp. 1872-1876.
76. Li Pan, Hong Zheng, Saeid Nahavandi. The Application of Rough Set and Kohonen Network to Feature Selection for Object Extraction. Proceedings of the Second In ternational Conference on Machine Learning and Cybernetics, Xi'an, 2-5 November 2003, pp. 1185-1189.
77. Sudha, N., An ASIC Implementation of Kohonen's Map based Color Image Compression. Proceedings of the 17th IEEE International Conference on VLSI Design (VLSID'04), 2004, pp. 4.
78. Hulsen, H., Garnica, St., Fatikow, S., Extended Kohonen Networks for the Pose Control of Microrobots in a Nanohandling Station. Proceedings of the 2003 IEEE International Symposium on Intelligent Control, Houston, Texas, Oct. 5-8, 2003, pp. 116-121.
79. Hubel, D. H., and Wiesel, T. N., Receptive Fields Binocular Interaction and Functional Architecture in the Cat's Visual Cortex. J. Physiology (Lond.), 1962, Vol. 106, No. 1, pp. 106-154.
80. Hubel, D. H., and Wiesel, T. N., Receptive Fields and Functional Architecture in Two Nonstriate Visual Areas (18 and 19) of the Cat. J. Neurophysiology, 1965, Vol. 28, No. 2, pp. 229-289.
81. Watanabe, A., Andoh, M., Chujo, N., Harata, Y., Neocognitron Capable of Position Detection and Vehicle Recognition. Proceedings of the International Joint Conference on Neural Networks, IJCNN99, 10-16 July 1999, Vol. 5, pp. 3170-3173.
82. Fukushima, K., Neocognitron of a New Version: Handwritten Digit Recognition. Proceedings of the International Joint Conference on Neural Networks, IJCNN01, 15-19 July 2001, Vol. 2, pp. 1498-1503.
83. San Kan Lee, Pau-choo Chung, Chein-I Chang, Chien-Shun Lo, Tain Lee, Giu-Cheng Hsu, Chin-Wen Yang. A Shape Cognitron Neural Network for Breast Cancer Detection. Proceedings of the International Joint Conference on Neural Networks, IJCNN02, 12-17 May 2002, Vol. 1 pp. 822-827.
84. Fukushima, K., Neural Network Models for Vision. Proceedings of the International Joint Conference on Neural Networks, IJCNN03, 20-24 July 2003, pp. 2625-2630.
85. Bintu G. Vasudevan, Bhawani S. Gohil, Vijay K. Agarwal, Backpropagation Neural-Network- Based Retrieval of Atmospheric Water Vapor and Cloud Liquid Water From IRS-P4 MSMR, IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, N 5, May 2004, pp. 985-990.
86. Hu Y. H. and Hwang J.-N., Eds., Handbook of Neural Network Signal Processing, Boca Raton, FL: CRC, 2002.
87. Betker, A. L., Moussavi, Z., Szturm, T., On Classification of Simulated Sensory Deficiency, Canadian Conference on Electrical and Computer Engineering, Vol. 2, 2-5 May 2004, pp. 1211-1214.
88. Helena Grip, Fredrik Ohberg, Urban Wiklund, Ylva Sterner, J. Stefan Karlsson, Bjorn Gerdle, Classification of Neck Movement Patterns Related to Whiplash-Associated Disorders Using Neural Networks, IEEE Transactions on Information Technology in Biomedicine, Vol. 7, No. 4, December 2003, pp. 412-418.
89. Jiebo Luo, Stephen P. Etz, A Physical Model-Based Approach to Detecting Sky in Photographic Images, IEEE Transactions on Image Processing, Vol. 11, No. 3, March 2002, pp. 201-212.
90. Dennis S.S. Lee, Brian J. Lightgow, Rob E.Morrison, New Fault Diagnosis of Circuit Breakers, IEEE Transactions on Power Delivery, Vol. 18, No. 2, April 2003, pp. 454-459.
91. Werbos, P., Neurocontrol and Supervised Learning: An Overview and Evaluation, Ed. by David A. White, Donald A. Sofge, In: Handbook on Intelligent Control: Neural, Fuzzy, and Adaptive Approaches, Part 3, 1992, Van Nostrand Reinhold, pp. 65-89.
92. Gaurav Saini, S.N. Balakrishnan, Adaptive Critic Based Neurocontroller for Autolanding of Aircrafts, Proceedings of the American Control Conference, Albuquerque, New Mexico, USA, June 1997, pp. 1081-1085.
93. Dongchen Han, S.N. Balakrishnan, State-Constrained Agile Missile Control with Adaptive- Critic-Based Neural networks, IEEE Transactions on Control Systems Technology, Vol. 10, No. 4, July 2002, pp. 481-489.
94. Venayagamoorthy, G. K., Harley, R. G., Wunsch, D. C., Implementation of Adaptive Critic-Based Neurocontrollers for Turbogenerators in a Multimachine Power System, IEEE Transactions on Neural Networks, Vol. 14, Issue 5, Sept. 2003, pp. 1047- 1064.
95. Xiaoqun Liao, Ernst L. Hall, Beyond Adaptive Critic - Creative Learning for Intelligent Autonomous Mobile Robots, Proceedings of ANNIE 2002, St. Louis, Missouri, USA, November 2002, pp. 1-6.
96. Kussul, E. M., Baidyk, T. N., Lukovitch, V. V., Rachkovskij, D. A., Adaptive high performance classifier based on random threshold neurons. Proc. of Twelfth European Meeting on Cybernetics and Systems Research (EMCSR-94), Austria, Vienna, April 5-8, 1994. In: R. Trappl, ed., Cybernetics and Systems 94, World Scientific Publishing Co. Pte. Ltd, Singapore, pp. 1687-1695.
97. Kussul, E. M., Baidyk, T. N., Neural Random Threshold Classifier in OCR Application, Proceedings of the Second All-Ukrainian Intern. Conf. UkrOBRAZ'94, Kyjiv, Ukraine, December 20-24, 1994, pp. 154-157.
98. Baidyk, T., Kussul, E., Makeyev, O., Texture Recognition with Random Subspace Neural Classifier, WSEAS Transactions on Circuits and Systems, Issue 4, Vol. 4, April 2005, pp. 319-325.
99. Baidyk, T., and Kussul, E., Neural Network Based Vision System for Micro Workpieces Manufacturing. WSEAS Transactions on Systems, Issue 2, Volume 3, April 2004, pp. 483-488.
100. Kussul, E., Baidyk, T., Wunsch, D., Makeyev, O., Martín, A., Permutation Coding Technique for Image Recognition Systems. IEEE Transactions on Neural Networks, Vol. 17/6, November 2006, pp. 1566-1579.
101. Castano R., Manduchi R., Fox J., Classification Experiments on Real-world Texture, Proceedings of the Third Workshop on Empirical Evaluation Methods in Computer Vision, Kauai, Hawaii, 2001, pp. 3-20.
102. Matti Pietikäinen, Tomi Nurmela, Topi Mäenpää, Markus Turtinen, View-based Recognition of Real-world Textures, Pattern Recognition, Vol.37, 2004, pp. 313-323.
103. Baidyk T., Comparison of Texture Recognition with Potential Functions and Neural Networks, Neural Networks and Neurocomputers, 1991, pp. 52-61 (in Russian).
104. Kussul E., Rachkovskij D., Baidyk T., On Image Texture Recognition by Associative- Projective Neurocomputer, Proceedings of the International Conference on Intelligent Engineering Systems through Artificial Neural Networks, 1991, pp. 453-458.
105. Goltsev A., An Assembly Neural Network for Texture Segmentation, Neural Networks, Vol. 9, No. 4, 1996, pp. 643-653.
106. Goltsev A., Wunsch D., Inhibitory Connections in the Assembly Neural Network for Texture Segmentation, Neural Networks, Vol. 11, 1998, pp. 951-962.
107. Chi-ho Chan, Grantham K.H. Pang, Fabric Defect Detection by Fourier Analysis, IEEE Transactions on Industry Applications, Vol. 36/5, 2000, pp. 1267-1276.
108. Zschech E., Besser P.. Microstructure Characterization of Metal Interconnects and Barrier Layers: Status and Future. Proc. of the IEEE International Interconnect Technology Conference, 2000, pp. 233-235.
109. Hepplewhite L., Stonham T.J., Surface Inspection Using Texture Recognition, Proc. of the 12th IAPR International Conference on Pattern Recognition, Vol. 1, 1994, pp. 589-591.
110. Patel D., Hannah I., Davies E.R., Foreign Object Detection via Texture Analysis, Proc. of the 12th IAPR International Conference on Pattern Recognition, 1994, Vol. 1, pp. 586-588.
111. Hoogs A., Collins R., Kaicic R., Mundy J., A Common Set of Perceptual Observables for Grouping, Figure-ground Discrimination, and Texture Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25/4, 2003, pp. 458-474.
112. Leung T., Malik J., Representing and Recognizing the Visual Appearance of Materials Using Three-dimensional Textons, Int. J. Comput. Vision, Vol. 43 (1), 2001, pp. 29-44.
113. Dana K.J., B. van Ginneken, Nayar S.K., Koendrink J.J., Reflectance and Texture of Real World Surfaces, ACM Trans. Graphics, Vol. 18 (1), 1999, pp. 1-34.
114. http://ww1.cs.columbia.edu/CAVE/curet/.
115. Patel D., Stonham T.J., A Single Layer Neural Network for Texture Discrimination, IEEE International Symposium on Circuits and Systems, Vol. 5, 1991, pp. 2656-2660.
116. Mayorga M.A., Ludeman L.C., Shift and Rotation Invariant Texture Recognition with Neural Nets, Proc. of the IEEE International Conference on Neural Networks, Vol. 6, 1994, pp. 4078-4083.
117. Woobeom Lee, Wookhyun Kim, Self-organization Neural Networks for Multiple Texture Image Segmentation, Proc. of the IEEE Region 10 Conference TENCON 99, Vol. 1, 1999, pp. 730-733.
118. Brodatz P., Texture: A Photographic Album for Artists and Designers, Dover Publications, New York, 1966.
119. Kussul E., Baidyk T., Lukovitch V., Rachkovskij D., Adaptive High Performance Classifier Based on Random Threshold Neurons, Proc. of Twelfth European Meeting on Cybernetics and Systems Research (EMCSR-94), Austria, Vienna, 1994, pp. 1687-1695.
120. Kussul E., Baidyk T., Kasatkina L., Lukovich V., Rosenblatt Perceptrons for Handwritten Digit Recognition, Proceedings of International Joint Conference on Neural Networks IJCNN, 2001, Vol. 2, 2001, pp. 1516-1520.
121. LeCun, Y., Bottou, L., Bengio, Y., Haffner, P., Gradient-based Learning Applied to Document Recognition, Proceedings of the IEEE, Vol. 86, No. 11, November 1998, pp. 2278-2344.
122. Hoque M.S., Fairhurst M.C., A Moving Window Classifier for Off-line Character Recognition. Proceedings of the 7th International Workshop on Frontiers in Handwriting Recognition, 2000, Amsterdam, pp. 595-600.
123. S. Belongie, J. Malik, J. Puzicha, Matching Shapes, Proceedings of the 8-th IEEE Intern. Conf. on Computer Vision ICCV, Vol. 1, 2001, pp. 454-461.
124. S. Belongie, J. Malik, J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 4, 2002, pp. 509-522.
125. L.Bottou, C. Cortes, J. Denker, H. Drucker, L. Guyon, L. Jackel, Y. LeCun, U. Muller, E. Sackinger, P. Simard, V. Vapnik, Comparison of Classifier Methods: A Case Study in Handwritten Digit Recognition, Proceedings of 12th IAPR Intern. Conf. on Pattern Recognition, 1994, Vol. 2, pp. 77-82.
126. E. Kussul, T. Baidyk, Improved Method of Handwritten Digit Recognition Tested on MNIST Database, Proceedings of the 15th Intern. Conf. on Vision Interface, Calgary, Canada, 2002, pp. 192-197.
127. Baidyk T., Kussul E., Makeyev O., Caballero A., Ruiz L., Carrera G., Velasco G. Flat Image Recognition in the Process of Microdevice Assembly, Pattern Recognition Letters. Vol. 25/1, 2004, pp. 107-118.
128. Kussul E., Baidyk T., Wunsch D., Makeyev O., Martín A. Permutation Coding Technique for Image Recognition Systems. IEEE Transactions on Neural Networks, Vol. 17/6, November 2006, pp. 1566-1579.
129. Cheng-Lin Liu, K. Nakashima, H. Sako, H. Fujisawa, Handwritten Digit Recognition Using State-of-the-art Techniques, Proceedings of the 8th Intern. Workshop on Frontiers in Handwritten Recognition, Ontario, Canada, August 2002, pp. 320-325.
130. Rosenblatt, F., Principles of Neurodynamics, Spartan books, New York, 1962.
131. Kussul E., Baidyk T., Neural Random Threshold Classifier in OCR Application, Proceedings of the Second All-Ukrainian Intern. Conf. UkrOBRAZ'94, Ukraine, December 1994, pp. 154-157.
132. Kussul E., Kasatkina L., Rachkovskij D., Wunsch D., Application of Random Threshold Neural Networks for Diagnostics of Micro Machine Tool Condition, International Joint Conference on Neural Networks, NJ Alaska, 1998, Vol. 1, pp. 241-244.
133. Baidyk T., Kussul E., Makeyev O. Texture Recognition with Random Subspace Neural Classifier, WSEAS Transactions on Circuits and Systems, Issue 4, Vol. 4, April 2005, pp. 319-325.
134. L.Bottou, C. Cortes, J. Denker, H. Drucker, L. Guyon, L. Jackel, Y. LeCun, U. Muller, E. Sackinger, P. Simard, V. Vapnik, Comparison of Classifier Methods: A Case Study in Handwritten Digit Recognition, Proceedings of 12th IAPR Intern. Conf. on Pattern Recognition, 1994, Vol. 2, pp. 77-82.
135. http://www.research.att.com/yann/ocr/mnist/index.html.
136. Y. LeCun, L. Bottou, Y. Bengio, P. Haffner, Gradient-based Learning Applied to Document Recognition, Proceedings of the IEEE, Vol. 86, No. 11, 1998, pp. 2278-2344.
137. M.S. Hoque, M.C. Fairhurst, A Moving Window Classifier for Off-line Character Recognition, Proceedings of the 7th International Workshop on Frontiers in Handwriting Recognition, 2000, pp. 595-600.
138. S. Belongie, J. Malik, J. Puzicha, Matching Shapes, Proceedings of the 8th IEEE International Conference on Computer Vision ICCV, Vol.1, 2001, pp. 454-461.
139. S. Belongie, J. Malik, J. Puzicha, Shape Matching and Object Recognition Using Shape Contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 4, 2002, pp. 509-522.
140. E. Kussul, T. Baidyk, L. Kasatkina, V. Lukovich, Rosenblatt Perceptrons for Handwritten Digit Recognition. Proceedings of International Joint Conference on Neural Networks IJCNN'01. Washington, D.C., USA, July 15-19, 2001, pp. 1516-1520.
141. E. Kussul, T. Baidyk, Improved Method of Handwritten Digit Recognition Tested on MNIST Database, Proceedings of the 15th Intern Conf. on Vision Interface, Calgary, Canada, 2002, pp. 192-197.
142. Cheng-Lin Liu, K.Nakashima, H.Sako, H. Fujisawa, Handwritten Digit Recognition Using State-of-the-art Techniques, Proceedings of the 8-th International Workshop on Frontiers in Handwritten Recognition, Ontario, Canada, August 2002, pp. 320-325.
143. Teewoon Tan, Hong Yan, Object Recognition Using Fractal Neighbor Distance: Eventual Convergence and Recognition Rates. Proceedings of the 15th IEEE International Conference on Pattern Recognition, Vol. 2, 3-7 Sept. 2000, pp. 781-784.
144. Meng Joo Er, Shiqian Wu, Juwei Lu, Hock Lye Toh, Face Recognition with Radial Basis Function (RBF) Neural Networks, IEEE Transactions on Neural Networks, Vol. 13, No. 3, May 2002, pp. 697-710.
145. S. Singh, M. Singh, M. Markou, Feature Selection for Face Recognition Based on Data Partitioning, Proceedings of the 16th International conference on pattern recognition, Vol. 1, 2002, pp. 680-683.
146. R. Javad Haddadnia, Majid Ahmadi, Karim Faez, An Efficient Method for Recognition of Human Faces Using Higher Orders Pseudo Zernike Moment Invariant, Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FGR'02), 2002, p. 6.
147. Wu Xiao-Jun, Wang Shi-Tong, Liu Tong-Ming, Yang Jing-Yu, A New Algorithm of Uncorrelated Discriminant Vectors and its Application. Proceedings of the 4th World Congress on Intelligent Control and Automation, June 2002, Shanghai, P. R. China, pp. 340-344.
148. Victor-Emil Neagoe, Armand-Dragos Ropot, Concurrent Self-organizing Maps for Pattern Classification. Proceedings of the First IEEE International Conference on Cognitive Informatics (ICCI'02), 2002, p. 9.
149. Phiasai T., Arunrungrushi S., Chamnongthai K., Face Recognition System with PCA and Moment Invariant Method, The 2001 IEEE International Symposium on Circuits and Systems, 2001, pp. II-165 - II-168.
150. Gan Jun-ying, Zhang You-wei, Mao Shi-yi, Applications of Adaptive Principal Components Extraction Algorithm in the Feature Extraction of Human Face. Proceedings of the International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, May 2001, pp. 332-335.
151. Bai-ling Zhang, Yan Guo, Face Recognition by Wavelet Domain Associative Memory. Proceedings of the International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, May 2001, pp. 481-485.
152. Steve Lawrence, C. Lee Giles, Ah Chung Tsoi, Andrew D. Back, Face Recognition: A Convolutional Neural-network Approach. IEEE Transactions on Neural Networks, Vol. 8, No. 1, January 1997, pp. 98-113.
153. Guodong Guo, Stan Z. Li, Kapluk Chan, Face Recognition by Support Vector Machines. In: Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, 2000, 28-30 March 2000, pp. 196-201.
154. S.-H. Lin, S.-Y. Kung, and L.-J. Lin, Face Recognition/-Detection by Probabilistic Decisionbased Neural Network, IEEE Trans. Neural Networks, Vol.8, Jan. 1997, pp. 114-132.
155. V. Brennan and J. Principe, Face Classification Using Multiresolution Principal Component Analysis, in Proceedings of the IEEE Workshop Neural Networks Signal Processing, 1998, pp. 506-515.
156. S. Eickeler, S. Mueller, and G. Rigoll, High Quality Face Recognition in JPEG Compressed Images, in Proceedings of the IEEE Int. Conf. Image Processing, 1999, pp. 672-676.
157. Baidyk T., Kussul E., Makeyev O., Caballero A., Ruiz L., Carrera G., Velasco G. Flat image recognition in the process of microdevice assembly. Pattern Recognition Letters. Vol. 25/1, 2004, pp.107-118.
158. Bicego M., Castellani U., Murino V. Using Hidden Markov Models and Wavelets for Face Recognition. Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP'03), Italy, 2003, pp. 5.
159. Lin S., Kung S., Lin L. Face Recognition/Detection by Probabilistic Decision-Based Neural Network. IEEE Transactions on Neural Networks, 8(1), January 1997, pp. 114-131.
160. Guo G., Li S.Z., Kapluk C. Face Recognition by Support Vector Machines. Image and Vision Computing, 19 (9-10), 2001, pp. 631-638.
161. Lucas S. Face Recognition with the Continuous n-tuple Classifier. Proceedings of British Machine Vision Conference, September 1997.
162. Kohir V., Desai U. Face Recognition Using DCT-HMM Approach. Workshop on Advances in Facial Image Analysis and Recognition Technology (AFIART), Freiburg, Germany, June 1998.
163. Eickeler S., Miller S., Rigolli G. Recognition of JPEG Compressed Face Images Based on Statistical Methods. Image and Vision Computing, 18, March 2000, pp. 279-287.
164. Fukushima K., Neocognitron of a New Version: Handwritten Digit Recognition. Proceedings of the International Joint Conference on Neural Networks, Vol. 2, 2001, pp.1498-1503.
165. Fukushima K. Neural Network Models for Vision. Proceedings of the International Joint Conference on Neural Networks, 2003, pp.2625-2630.
166. Watanabe A., Andoh M., Chujo N., Harata Y. Neocognitron Capable of Position Detection and Vehicle Recognition. Proceedings of the International Joint Conference on Neural Networks, Vol. 5, 1999, pp.3170-3173.
167. San Kan Lee, Pau-choo Chung, et al. A Shape Cognitron Neural Network for Breast Cancer Detection. Proceedings of the International Joint Conference on Neural Networks, Vol. 1, 2002, pp. 822-827.
168. Perez C., Salinas C., Estévez P., Valenzuela P. Genetic Design of Biologically Inspired Receptive Fields for Neural Pattern Recognition. IEEE Transactions on System, Man, and Cybernetics, Part B: Cybernetics, Vol. 33, No. 2, April 2003, pp. 258-270.
169. Kussul E., Baidyk T., Kussul M., 2004, Neural Network System for Face Recognition. Proceedings of the IEEE International Symposium on Circuits and Systems, ISCAS 2004, May 23-26, Vancouver, Canada, Vol. V, pp.V-768-V-771.
170. Rosenblatt F. Principles of Neurodynamics. Spartan Books, New York, 1962.
171. Hubel D., Wiesel T. Receptive Fields, Binocular Interaction and Functional Architecture in the Cat's Visual Cortex. Journal on Physiology (Lond.), 106 (1), 1962, pp. 106-154.
172. Hubel D., Wiesel T. Receptive Fields and Functional Architecture in Two Nonstriate Visual Areas (18 and 19) of the Cat. Journal on Neurophysiology, 28 (2), 1965, pp.229-289.
173. Plate T. Holographic Reduced Representations. IEEE Transactions on Neural Networks, 6, 1995, pp. 623-641.
174. D. Rachkovskij, E. Kussul, Binding and Normalization of Binary Sparse Distributed Representations by Context-depending Thinning. Neural Computation 13, 2001, pp. 411-452.
175. E. M. Kussul, D. A. Rachkovskij, T. N. Baidyk, On Image Texture Recognition by Associative- Projective Neurocomputer. Proc. of the ANNIE'91 conference. "Intelligent engineering systems through artificial neural networks", ed. by C.H. Dagli, S.Kumara and Y.C. Shin, ASME Press, 1991, pp. 453-458.
176. E.M. Kussul, D.A. Rachkovskij, T.N. Baidyk, Associative-Projective Neural Networks: Architecture, Implementation, Applications. Proc. of Fourth Intern. Conf. "Neural Networks & their Applications", Nimes, France, Nov. 4-8, 1991, (EC2 Publishing), pp. 463-476.
177. E. Kussul, T. Baidyk, Neural Random Threshold Classifier in OCR Application", Proc. of the Second All-Ukrainian Intern. Conf., Kiev, Ukraine, 1994, pp. 154-157.
178. E. Kussul, T. Baidyk, V. Lukovitch, D. Rachkovskij, Adaptive High Performance Classifier Based on Random Threshold Neurons. In: R. Trappl (Ed.) Cybernetics and Systems '94 (Singapore: World Scientific Publishing Co. Pte. Ltd., 1994), pp. 1687-1695.
179. Baidyk T., Kussul E., 2004, Neural Network Based Vision System for Micro Workpieces Manufacturing. WSEAS Transactions on Systems, Issue 2, Vol. 3, April 2004, pp. 483-488.
180. Kussul E., Baidyk T., Wunsch D., Makeyev O., Martín A. Permutation Coding Technique for Image Recognition Systems. IEEE Transactions on Neural Networks, Vol. 17/6, November 2006, pp. 1566-1579.
181. S. Artikutsa, T. Baidyk, E. Kussul, D. Rachkovskij, Texture Recognition with the Neurocomputer. Preprint 91-8 of Institute of Cybernetics, Ukraine, 1991, pp. 20 (in Russian).
182. E. Kussul, T. Baidyk, Improved Method of Handwritten Digit Recognition Tested on MNIST Database, Image and Vision Computing, Vol. 22/12, 2004, pp. 971-981.
183. Kussul E.M. Associative Neural Structure. Kiev: Nauk. Dumka, 1992, p. 144 (in Russian).
184. Amosov N.M., Baidyk T.N., Goltsev A.D. et al., Neurocomputers and Intelligent Robots, Ed. Amosov N.M., Kiev: Nauk. Dumka, 1991, p. 272 (in Russian).
185. Baidyk T.N. Information Capacity Investigation of the Associative Field with Ensembles of Complex Structure, Neural networks and neurocomputers, Kiev, Institute of Cybernetics, 1992, pp. 39-48 (in Russian).
186. Kussul' E.M., Baydyk T.N. Design of a Neural-Like Network Architecture for Recognition of Object Shapes in Images. Soviet Journal of Automation and Information Sciences (formerly Soviet Automatic Control), Vol. 23, No. 5, 1990, pp. 53-59.
187. Kussul E.M., Baidyk T.N. Some Functions of Associative Neural Field, Kiev, 1992, p. 21 (Preprint/Institute of Cybernetics; 92-5) (in Russian).
188. Kussul E.M., Baidyk T.N. Neural Assembly Structure, Neurocomputer, 1992, No. 1, pp. 16-23 (in Russian).
189. Kussul E.M., Baidyk T.N. Module Structure of Associative Neural Networks, Kiev, 1993, p. 16 (Preprint/Institute of Cybernetics; 93-6) (in Russian).
190. Kussul E.M., Baidyk T.N. Information Codification in Associative- Projective Neural Networks, Kiev, 1993, p. 18 (Preprint/Institute of Cybernetics; 93-3) (in Russian).
191. Kussul E.M., Rachkovskij D.A., Baidyk T.N. Associative-Projective Neural Networks: Architecture, Implementation, Applications, Proc. of Fourth Intern. Conf. "Neural Networks & their Applications", Nimes, France, 1991, pp. 463-476.
192. T.N.Baidyk, 2001, Neural Networks and Artificial Intelligence Problems, Kiev, Naukova Dumka, p. 264 (in Russian).
193. Lansner A., Ekeberg O. Reliability and Speed of Recall in an Associative Network, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-7, No. 4, 1985, pp. 490-498.
194. Hebb D.O. The Organization of Behaviour, New York: Wiley, 1949, p. 319.
195. Milner P.M. The Cell Assembly: Mark 2, Psychol. Rev., Vol. 64, No. 4, 1954, pp. 242-252.
196. Kohonen T. Self-organization and Associative Memory, Berlin, Springer, 1984, p. 255.
197. Jackel L.D., Howard R.E., Denker J.S. et al. Building a Hierarchy with Neural Networks: An Example - Image Vector Quantization, Appl. Optics, 1987, Vol. 26, No. 23, pp. 5031-5034.
198. Nakano K. Associatron - A Model of Associative Memory, IEEE Transactions on Systems, Man, and Cybernetics, SMC-2, No. 3 July 1972, pp. 380-388.
199. Kussul E., Baidyk T. Structure of Neural Assembly, The RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers, Rostov-on-Don, Russia, 1992, pp. 423-434.
200. Kussul E.M., Rachkovskij D.A., Baidyk T.N. On Image Texture Recognition by Associativeprojective Neurocomputer, Proc. of the Conf. "Intelligent engineering systems through artificial neural networks", Ed. C. H. Dagli, S. Kumara and Y. C. Shin, ASME Press, 1991, pp. 453-458.
201. Tsodyks M.V. Associative Memory in Asymmetric Diluted Network with Low Level of Activity, Europhys. Lett. 7 (3), 1988, pp. 203-208.
202. Artikutsa S.Ya, Baidyk T.N., Kussul E.M., Rachkovskij D.A., Texture Recognition with the Neurocomputer, Kiev, 1991, p.20 (Prepr./Institute of Cybernetics; 91-8) (in Russian).
203. Basak J., Murthy C.A., Chaudhury S., Majumder D.D., A Connectionist Model for Category Perception. Theory and Implementation, IEEE Trans. on Neural Networks, Vol. 4, No. 2, 1993, pp. 257-269.
204. Carpenter G.A., Grossberg D. The ART of Adaptive Pattern Recognition by a Self-organizing Neural Network, Computer, 21 (3), 1988, pp. 77-88.
205. Fukushima K. A Neural Network for Visual Pattern Recognition, Computer, 21 (3), March 1988, pp. 65-75.
206. Kohonen T., Speech Recognition Based on Topology-Preserving Neural Maps. Neural Computing Architectures. The Design of Brain-Like Machines. Ed. I. Aleksander. North Oxford Academic Publishers, London, 1989, pp. 26-40.
207. Lippmann R.P. A Critical Overview of Neural Network Pattern Classifiers, Proceedings of IEEE Conference, Paris, France, 1991, pp. 266-275.
208. Marr D. Vision. Freeman, San Francisco, 1982.
209. Julesz B. Experiments in the Visual Perception of Texture, Sci. Am., 1975, 232, pp. 34-27.
210. R. Schwartz, Patent 4433912, USA, G 05 B 19/405. Method and a Circuit for Determining a Contour in an Image, Publ. 28.02.1984.
211. Amosov N.M., Baidyk T.N., Goltsev A.D. et al., Neurocomputers and Intelligent Robots, Ed. Amosov N.M., Kiev: Nauk. Dumka, 1991, p. 272 (in Russian).
212. Duda R., Hart P. Pattern Classification and Scene Analysis. New York: Wiley-Interscience Publ., 1973, pp. 482.
213. Marr D., Poggio T. Cooperative Computation of Stereo Disparity, Science. 194, 1976, pp. 283-287.
214. Aizerman M.A., Braverman E.M., and Rozonoer L.I., Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning. Automation and Remote Control, 25, 1964, pp. 821-837.
215. Davies E.R. Application of the Generalised Hough Transform to Corner Detection, IEEE Proc., E135, No. 1, 1988, pp. 49-54.
216. Leavers V.F., Boyce J.F. An Implementation of the Hough Transform Using a Linear Array Processor in Conjunction with a PDP/11, Nat. Phys. Lab. Div. Inf. Technol.and Comput. Rept., No. 74, 1986, pp. 1-11.
217. Kussul' E.M., Baydyk T.N. Design of a Neural-Like Network Architecture for Recognition of Object Shapes in Images. Soviet Journal of Automation and Information Sciences (formerly Soviet Automatic Control) (ISSN 0882-570X), Vol. 23, No. 5, 1990, pp. 53-59.
218. Baidyk T.N., Kussul' E.M., 1999, Application of Genetic Algorithms to Optimization of Neuronet Recognition Devices. Cybernetics and System Analysis. Vol. 35, No. 5, pp. 700-707.
219. Clopf A.H., Gose E.E. An Evolutionary Pattern Recognition Network, IEEE Trans. Syst. Sci. and Cybernet, Vol. 5, No. 3, 1969, pp. 247-250.
220. Ferri F.J., Pudil P., Hatef M., Kittler J. Comparative Study of Techniques for Large-scale Feature Selection, Pattern Recognition in Practice IV, Vlieland, June 1-3, 1994, pp. 43.
221. Kussul E.M., Luk A.N. Evolution as a Process of Search for an Optimum, Soviet Science Review. Scientific Developments in the USSR. IPC Business Press Ltd., Vol. 3, No. 3, 1972, pp. 168-172.
222. Mucciardy A.N., Gose E.E. Evolutionary Pattern Recognition in Incomplete Nonlinear Multithreshold Networks, IEEE Trans. Electron. Computers, EC-15, No. 2, 1966, pp. 257-261.
223. Kussul E.M., Rachkovskij D.A., Baidyk T.N. Associative-Projective Neural Networks: Architecture, Implementation, Applications, Proceedings of Fourth Intern. Conf. "Neural Networks & their Applications", Nimes, France, 1991, pp. 463-476.
224. Kussul E.M., Baidyk T.N., Rachkovsky D.A. Neural Network for Recognition of Small Images, Proceedings of the First all-Ukrainian Conference UkrOBRAZ'92, Kyjiv, Ukraine, 1992, pp. 151-153.
225. Kussul E. M., Lukovitch V. V., Lutsenko V. N., Multiprocessor Computers for Control of Transport Robots in Natural Environment, USiM, No. 5, 1988, pp. 102-104.
226. Drumheller M., Poggio T., On Parallel Stereo, Proceedings of IEEE Conference Rob. and Autom., San Francisco, Calif., Apr. 7-10, 1986, 3, pp. 1439-1448.
227. Hopfield J.J. Neural Networks and Physical Systems with Emergent Collective Computational Abilities, Proc. Net. Acad. Sci. USA, 1982, 79, pp. 2554-2558.
228. Webster W.P. Artificial Neural Networks and their Application to Weapons, Naval Engineers Journal, 1991, pp. 46-59.
229. Kussul E. M., Rachkovskij D. A., Baidyk T. N., 1991, Associative- Projective Neural Networks: Architecture, Implementation, Applications. In: Neural Networks & Their Applications, Nimes, France, EC2 Publishing, pp. 463-476.
230. Baidyk T. N., Neural Network Subsets to Resolve Some Problems of Artificial Intelligence, Thesis for a Doctor's degree (D. Sc. Eng), Institute of Cybernetics of Ukraine, 28.09.1994.
231. Baidyk T. N., Neural Networks and Artificial Intelligence Problems. Kiev, Naukova Dumka, 2001, p. 264 (in Russian).
232. Kussul E.M., Rachkovskij D.A., Baidyk T.N., et al., Micromechanical Engineering: A Basis for the Low Cost Manufacturing of Mechanical Microdevices Using Microequipment. J. Micromech. Microeng, 1996, Vol. 6, pp. 410-425.
233. Ohlckers P., Hanneborg A., Nese M., Batch Processing for Micromachined Devices. J. Micromech. Microeng, 1995, Vol. 5, pp. 47-56.
234. Handbook of Microlithography, Micromachining, and Microfabrication. Vol. 2: Micromachining and Microfabrication. Ed. by P. Rai-Choundhury. SPIE Press, 1997.
235. Micromechanics and MEMS. Classsical and Seminal Papers to 1990. Ed. by W. S. Trimmer, IEEE Press, New York, 1997.
236. Kussul E., Baidyk T., Rachkovskij D., Talaev S. The Method of Micromechanical Manufacture. Patent No. 2105652, Russia, 27.02.1998, priority from 2.02.1996 (in Russian).
237. Kussul E., Baidyk T., Rachkovskij D., Talaev S. The Method of Micromechanical Manufacture. Patent No. 24091, Ukraine, 31.08.1998, priority from 17.01.1996 (in Ukrainian).
238. Naotake Ooyama, Shigeru Kokaji, Makoto Tanaka et al., Desktop Machining Microfactory. Proceedings of the 2-nd International Workshop on Microfactories, Switzerland, Oct.9-10, 2000. pp. 13-16.
239. Kussul E., Baidyk T., Ruiz-Huerta L., Caballero A., Velasco G., Kasatkina L. Development of Micromachine Tool Prototypes for Microfactories, Journal of Micromechanics and Microengineering, 12, 2002, pp. 795-812.
240. Ohlckers P., Jakobsen H. High Volume Production of Silicon Sensor Microsystems for Automotive Applications. IEEE Colloquium on Assembly and Connection in Microsystems (Digest No. 1997/004), 1997, pp. 8/1-8/7.
241. Eddy D.S., Sparks D.R. Application of MEMS Technology in Automotive Sensors and Actuators. Proceedings of the IEEE, Vol.86, Issue 8, 1998, pp. 1747-1755.
242. Tang T.K., Gutierrez R.C., Stell C.B., Vorperian V., Arakaki G.A., Rice G.T., Li W.J., Chakraborty I., Shcheglow K., Wilcox J.Z., Kaiser W.J. A Packaged Silicon MEMS Vibratory Gyroscope for Microspacecraft. 10th Annual International Workshop on Micro Electro Mechanical Systems, 1997, pp. 500-505.
243. Norvell B.R., Hancock R.J., Smith J.K., Pugh M.L., Theis S.W., Kriatkofsky J. Micro Electro Mechanical Switch (MEMS) Technology Applied to Electronically Scanned Arrays for Space Based Radar. Aerospace Conference, 1999, Proceedings, Vol. 3, pp. 239-247.
244. Madni A.M., Wan L.A. Micro Electro Mechanical Systems (MEMS): An Overview of Current State-of-the Art. Aerospace Conference, 1998 IEEE, Vol. 1, pp. 421-427.
245. Janson S., Helvajian H., Amimoto S., Smit G., Mayer D., Feuerstein S. Microtechnology for Space Systems. Aerospace Conference, 1998 IEEE, Vol. 1, pp. 409-418.
246. Minor R.R., Rowe D.W. Utilization of GPS/MEMS-IMU for Measurement of Dynamics for Range Testing of Missiles and Rockets. Position Location and Navigation Symposium, IEEE 1998, pp. 602-607.
247. Yu-Chong Tai. Aerodynamic Control of a Delta-wing Using MEMS Sensors and Actuators. Proceedings of the 1997 International Symposium on Micromechatronics and Human Science, 1997, pp. 21-26.
248. Fujita H. Microactuators and Micromachines. Proceedings of the IEEE, Vol. 86, 1998, No. 8, pp. 1721-1732.
249. Comtois J.H., Michalicek M.A., Clark N., Cowan W., MOEMS for Adaptive Optics. Broadband Optical Networks and Technologies: An Emerging Reality/Optical MEMS/Smart Pixels/Organic Optics and Optoelectronics, 1998, IEEE/LEOS Summer Topical Meetings, 1998, pp. II/95-II/96.
250. McCormick F. B, Optical MEMS Potentials in Optical Storage. Broadband Optical Networks and Technologies: An Emerging Reality/Optical MEMS/Smart Pixels/Organic Optics and Optoelectronics, 1998, IEEE/LEOS Summer Topical Meetings, pp. II/5-II/6.
251. Kuwano H., MEMS for Telecommunication Systems. Proceedings of the 7th International Symposium on Micro Machine and Human Science, 1996, pp. 21-28.
252. Johnson M. D., Hughes G. A., Gitlin M. L., Loebel N. G., Paradise N. F. Cathode Ray Addressed Micromirror Display. Proceedings of the 13th Biennial University/Government/Industry Microelectronics Symposium, 1999, pp. 158-160.
253. Brown E.R., RF-MEMS Switches for Reconfigurable Integrated Circuits, IEEE Transactions on Microwave Theory and Techniques, Vol. 46, No. 11, 1998, pp. 1868-1880.
254. Pillans B., Eshelman S., Malczewski A., Ehmke J., Goldsmith C., Ka-band RF MEMS Phase Shifters. IEEE Microwave and Guided Wave Letters, 1999, Vol. 9, pp. 520-522.
255. Wu H.D., Harsh K.F., Irwin R.S., Wenge Zhang, Mickelson A.R., Lee Y.C., Dobsa J.B., MEMS Designed for Tunable Capacitors. Microwave Symposium Digest, 1998 IEEE MTTS International, 1998, Vol. 1, pp. 127-129.
256. Wu S., Mai J., Tai Y.C., Ho C.M., Micro Heat Exchanger by Using MEMS Impinging Jets. 12th IEEE International Conference onMicro Electro Mechanical Systems, 1999, pp. 171-176.
257. Rachkovskij D. A., Kussul E. M., Talayev S. A., Heat Exchange in Short Microtubes and Micro Heat Exchangers with Low Hydraulic Losses. Microsystem Technologies, 1998, Vol. 4, pp. 151-158.
258. Bier W., Keller W., Linder G., Siedel D., Schubert K., Martin H. Gas-to Gas Transfer in Micro Heat Exchangers. Chemical Engineering and Processing, 1993, Vol. 32, pp. 33-43.
259. Friedrich C., Kang S. Micro Heat Exchangers Fabricated by Diamand Machining. Precision Engineering, 1994, Vol. 16, pp. 56-59.
260. Katsura S., Hirano K., Yamaguchi A., Ishii R., Imayou H., Matsusawa Y., Mizuno A. Manipulation of Chromosomal DNA and Localization of Enzymatic Activity. Industry Applications Conference, 32nd IAS Annual Meeting IAS'97, Conference Record of the 1997 IEEE, 1997, Vol. 3, pp. 1983-1989.
261. Dohi T. Computer Aided Surgery and Micro Machine. Proceedings of the 6th International Symposium on Micro Machine and Human Science, MHS'95, 1995, pp. 21-24.
262. Cibuzar G., Polla D., McGlennen R., Biomedical MEMS Research at the University of Minnesota. Proceedings of the 12th Biennial University/Government/ Industry Microelectronics Symposium, 1997, pp. 145-149.
263. Sun L., Sun P., Qin X., Wang C., Micro Robot in Small Pipe with Electromagnetic Actuator. International Symposium on Micromechatronics and Human Science, 1998, pp. 243-248.
264. Caprari G., Balmer P., Piguet R., Siegwart R., The Autonomous Micro Robot "Alice": A Platform for Scientific and Commercial Applications. International Symposium on Micromechatronics and Human Science, 1998, pp. 231-235.
265. Hayashi I., Iwatsuki N., Micro Moving Robotics. International Symposium on Micromechatronics and Human Science, 1998, pp. 41-50.
266. http://www.siliconstrategies.com/story/OEG20020827S0031.
267. Micro Mechanical Systems: Principles and Technology. Ed. By T. Fukuda and W. Menz. Elsevier Science B.V. 1998.
268. Mazuzawa T., An Approach to Micromachining through Machine Tool Technology. Proc. 2nd Int. Symp. Micro Machine and Human Science (Nagoya, Japan), 1991, pp. 47-52.
269. Friedrich C. R. and Vasile M. J., Development of the Micromilling Process for High- Aspect- Ratio Micro Structures. J. Microelectromechanical Systems, 1996, 5, pp. 33-38.
270. Friedrich C.R. and Kang S.D., Micro Heat Exchangers Fabricated by Diamond Machining. Precision Engineering, 1994, 16, pp. 56-59.
271. Yamagata Y. and Higuchi T. Four Axis Ultra Precision Machine Tool and Fabrication of Micro Parts by Precision Cutting Technique. Proc. 8th Int. Precision Engineering Seminar (Compiegne, France), 1995, pp. 467-470.
272. Ishihara H., Arai F., Fukuda T., Micro Mechatronics and Micro Actuators. IEEE/ASME Transactions on Mechatronics, 1996, Vol. 1, pp. 68-79.
273. Some Micro Machine Activities in Japan. Report ATIP96.021, 1996.
274. Okazaki Yuichi, Kitahara Tokio, Micro-Lathe Equipped with Closed-Loop Numerical Control, Proceedings of the 2nd International Workshop on Microfactories, Switzerland, Oct. 9-10, 2000, pp. 87-90.
275. Maekawa H., Komoriya K. Development of a Micro Transfer Arm for a Microfactory. Proceedings of the 2001 IEEE International Conference on Robotics & Automation, Seoul, Korea, May 2001, pp. 1444-1451.
276. Bleuler H., Clavel R., Breguet J.-M., Langen H., Pernette E. Issues in Precision Motion Control and Microhandling. Proceedings of the 2000 IEEE International Conference on Robotics & Automation, San Francisco, 2000, pp. 959-964.
277. Ishikawa Yu., Kitahara T. Present and Future of Micromechatronics. 1997 International Symposium on Micromechatronics and Human Science, 1997, pp.13-20.
278. Naotake Ooyama, Shigeru Kokaji, Makoto Tanaka et al., Desktop Machining Microfactory. Proceedings of the 2-nd International Workshop on Microfactories, Switzerland, Oct. 9-10, 2000, pp. 14-17.
279. Trimmer W.S.N. Microrobots and Micromechanical Systems. In: Sensors and Actuators, 19, 1989, pp. 267-287.
280. Kussul E., Baidyk T., Ruiz-Huerta L., Caballero-Ruiz A., Velasco G., Makeyev O., Techniques in the Development of Micromachine Tool Prototypes and Their Applications in Microfactories. In: MEMS/NEMS Handbook: Techniques and Applications, Ed. by Cornelius T. Leondes, Kluwer Academic Publishers, 2006, Vol. 3, Chapter 1, pp. 1-61.
281. Kussul E., Baidyk T., Ruiz-Huerta L., Caballero-Ruiz A., Velasco G., Scaling Down of Microequipment Parameters, Precision Engineering, 2006, Vol. 30, Issue 2, pp. 211-222.
282. G. H. J. Florussen, F. L. M. Delbressine, M. J. G. van de Molengraft, P. H. J. Schellekens, Assessing Geometrical Errors of Multi-Axis Machines by Three-Dimensional Length Measurement. J. Measurement, 30, 2001, pp. 241-255.
283. Kussul E., Baidyk T., Ruiz-Huerta L., Caballero-Ruiz A., Velasco G., CNC Micromachine Tool: Design& Metrology Problems, in: Advances in Systems Theory, Mathematical Methods and Applications, A. Zemliak, N. Mastorakis, (eds.), Greece, 2002, WSEAS Press, pp. 93-97.
284. Caballero-Ruiz A., Ruiz-Huerta L., Kussul E., Baidyk T., Velasco G., Micromachine Tool: Measurement and Control, 17th Annual Meeting, ASPE, St. Louis, Missouri, Oct. 20-25, 2002, pp. 377-382.
285. Alberto Caballero Ruiz, Metodología de Evaluación para Microequipo, Doctorado en Ingenieri ́a Mecánica (Tesis), 11 May 2005, pp. 116.
286. Caballero-Ruiz A., Ruiz-Huerta L., Baidyk T., Kussul E. Geometrical Errors Analysis of a CNC Micro-Machine Tool, Mechatronics, Vol. 17, Issues 4-5, May-June 2007, pp. 231-243.
287. Leopoldo Ruiz Huerta, Desarrollo de Microequipo para Células de Manufactura, Doctorado en Ingeniería Mecánica (Tesis), 11 May 2005, pp. 110.
288. Yang X., Yang M.J., Wang X.O., Meng E., Tai Y.C., Ho C.M. Jan. 1998 Micromachined Membrane Particle Filters. Proceedings of The Eleventh Annual International Workshop on Micro Electro Mechanical Systems, MEMS 98, 1998, pp. 137-142.
289. Kussul E. Control Paralelo de Máquinas Herramientas, Congreso SOMI'XVI, Querétero, México, October 15-19, 2001, pp. 7.
290. Kussul E., López Walle B. Tecnología de Alambrado por Tejido Alambre Magneto. Congreso SOMI XVII, Mérida, Yucatán, México, 14-18 October, 2002, pp. 8.
291. Kussul E., Rachkovskij D., Baidyk T. et al., Micromechanical Engineering: A Basis of the Low Cost Manufacturing of Mechanical Microdevices Using Microequipment. Journal of Micromechanics and Microengineering, 6, 1996, pp. 410-425.
292. Kussul E., Baidyk T., Ruiz-Huerta L., Caballero A., Velasco G., Kasatkina L. "Development of Micromachine Tool Prototypes for Microfactories", Journal of Micromechanics and Microengineering, 12, 2002, pp. 795-812.
293. Some Micro Machine Activities in Japan. Report ATIP96.021, 1996.
294. Okazaki Yuichi, Kitahara Tokio. Micro-Lathe Equipped with Closed-Loop Numerical Control. Proceedings of the 2nd International Workshop on Microfactories, Switzerland, Oct.9-10, 2000, pp. 87-90.
295. Naotake Ooyama, Shigeru Kokaji, Makoto Tanaka and others. Desktop Machining Microfactory. Proceedings of the 2nd International Workshop on Microfactories, Switzerland, Oct.9-10, 2000, pp. 14-17.
296. Bleuler H., Clavel R., Breguet J-M., Langen H., Pernette E. Issues in Precision Motion Control and Microhandling. Proceedings of the 2000 IEEE International Conference On Robotics & Automation, San Francisco, pp. 959-964.
297. Jonathan Wu Q.M., M.F. Ricky Lee, Clarence W. de Silva. Intelligent 3-D Sensing in Automated Manufacturing Processes. In: Proceedings IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Italy, 2001, pp. 366-370.
298. Lee, S.J., K. Kim, D.-H. Kim, J.-O. Park, G.T. Park. Recognizing and Tracking of 3-D-Shaped Micro Parts Using Multiple Visions for Micromanipulation. In: IEEE International Symposium on Micromechatronics and Human Science, 2001, pp. 203-210.
299. Kim, J.Y., H.S. Cho. A Vision Based Error-Corrective Algorithm for Flexible Parts Assembly. In: Proceedings of the IEEE International Symposium on Assembly and Task Planning, Portugal, 1999, pp. 205-210.
300. Grigorescu C., Petkov N. Distance Sets for Shape Filters and Shape Recognition. IEEE Transactions on Image Processing, Vol. 12, No. 10, October 2003, pp. 1274-1286.
301. Kussul E.M., Baidyk T.N. Permutative Coding Technique for Handwritten Digit Recognition. Proceedings of the 2003 IEEE International Joint Conference on Neural Networks (IJCNN'2003), Portland, Oregon, USA, July 20-24 2003, Vol. 3, pp. 2163-2168.
302. Kussul E., Baidyk T., Kussul M., 2004, Neural Network System for Face Recognition. 2004 IEEE International Symposium on Circuits and Systems, ISCAS 2004, May 23-26, Vancouver, Canada, Vol. V, pp. V-768-V-771.
303. Baidyk T., Kussul E., 2004, Neural Network Based Vision System for Micro Workpieces Manufacturing. WSEAS Transactions on Systems, Issue 2, Vol. 3, April 2004, pp.483-488.
304. Martín A., Baidyk T., Neural Classifier for Micro Screw Shape Recognition in Micromechanics, CLEI 2006, IFIP WCC AI2006, Santiago de Chile, Chile, August, 21-24 2006, p. 10.
305. Trimmer W.S. (ed.), Micromechanics and MEMS. Classical and seminal papers to 1990, IEEE Press, New York, 1997.
306. Madni A.M., Wan L.A., Micro Electro Mechanical Systems (MEMS): An Overview of Current State-of-the Art. Aerospace Conference, Vol. 1, 1998, pp. 421-427.
307. Kussul E., Baidyk T., Ruiz-Huerta L., Caballero A., Velasco G., Kasatkina L., Development of Micromachine Tool Prototypes for Microfactories, J. of Micromech. and Microeng., Vol. 12, 2002, pp. 795-813.
308. Baidyk T., Kussul E., Makeyev O., Caballero A., Ruiz L., Carrera G., Velasco G., Flat Image Recognition in the Process of Microdevice Assembly, Pattern Recognition Letters, Vol.25/1, 2004, pp. 107-118.
309. Friedrich C.R., Vasile M.J., Development of the Micromilling Process for High-Aspect- Ratio Micro Structures, J. Microelectromechanical Systems, Vol.5, 1996, pp. 33-38.
310. Naotake Ooyama, Shigeru Kokaji, Makoto Tanaka, et al, Desktop Machining Microfactory, Proceedings of the 2nd International Workshop on Microfactories, Switzerland, 2000, pp. 14-17.
311. Baidyk T., Kussul E., Application of Neural Classifier for Flat Image Recognition in the Process of Microdevice Assembly, IEEE Intern. Joint Conf. on Neural Networks, Hawaii, USA, Vol. 1, 2002, pp. 160-164.
312. Matti Pietikäinen, Tomi Nurmela, Topi Mäenpää, Markus Turtinen, View-Based Recognition of Real-World Textures, Pattern Recognition, Vol.37, 2004, pp. 313-323.
313. Neubauer C., Fast Detection and Classification of Defects on Treated Metal Surfaces Using a Back Propagation Neural Network, Proc. of the IEEE International Joint Conference on Neural Networks, Vol. 2, 1991, pp. 1148-1153.
314. Kussul E., Baidyk T., Lukovitch V., Rachkovskij D., Adaptive High Performance Classifier Based on Random Threshold Neurons, Proc. of Twelfth European Meeting on Cybernetics and Systems Research (EMCSR-94), Austria, Vienna, 1994, pp. 1687-1695.
315. Makeyev O., Sazonov E., Baidyk T., Martin A., Limited Receptive Area Neural Classifier for Texture Recognition of Mechanically Treated Metal Surfaces, Neurocomputing, Issue 7-9, Vol. 71, March 2008, pp. 1413-1421.
316. Kussul E., Baidyk T., Ruiz-Huerta L., Caballero A., Velasco G., Kasatkina L., 2002, Development of Micromachine Tool Prototypes for Microfactories, Journal of Micromechanics and Microengineering, 12, pp. 795-813.
317. Kussul E., Baidyk T. Neural Random Threshold Classifier in OCR Application. In: Proceedings of the Second All-Ukrainian International Conference, Kiev, Ukraine, 1994, pp. 154-157.
318. Kussul E., Baidyk T., Lukovitch V., Rachkovskij D. Adaptive High Performance Classifier Based on Random Threshold Neurons. In R. Trappl (ed.) Cybernetics and Systems'94, Singapore: World Scientific Publishing Co. Pte. Ltd., 1994, pp. 1687-1695.
319. Baidyk T. Application of Flat Image Recognition Technique for Automation of Micro Device Production. In: Proceedings of 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Teatro Sociale Como, Italy, 2001, pp. 488-494.
320. Baidyk T., Kussul E. Application of Neural Classifier for Flat Image Recognition in the Process of Microdevice Assembly. In: Proceedings of IEEE International Joint Conference on Neural Networks, Hawaii, USA, Vol. 1, 2002, pp. 160-164.
321. Baidyk T., Kussul E., Makeyev O., Caballero A., Ruiz L., Carrera G., Velasco G. Flat Image Recognition in the Process of Microdevice Assembly. Pattern Recognition Letters, Vol. 25/1, 2004, pp. 107-118.
322. Bottou L., Cortes C., Denker J., Drucker H., Guyon L., Jackel L., LeCun Y., Muller U., Sackinger E., Simard P., Vapnik V., Comparison of Classifier Methods: A Case Study in Handwritten Digit Recognition, Proc. of 12th IAPR Intern. Conf. on Pattern Recognition, 1994, Vol. 2, pp. 77-82.
323. Makeyev O., Neural Interpolator for Image Recognition in the Process of Microdevice Assembly. In: IEEE IJCNN'2003, Portland, Oregon, USA, July 20-24, Vol. 3, 2003, pp. 2222-2226.
324. Baidyk T., Kussul E., Makeyev O. Image Recognition System for Microdevice Assembly, Twenty-First IASTED International Multi-Conference on Applied Informatics, AI2003, Innsbruck, Austria, 2003, pp. 243-248.
325. Kussul E., Baidyk T., 2004, Improved Method of Handwritten Digit Recognition Tested on MNIST Database. Image and Vision Computing, Vol. 22/12, pp. 971-981.
326. Kussul E., Baidyk T., 2006, LIRA Neural Classifier for Handwritten Digit Recognition and Visual Controlled Microassembly. Neurocomputing, Vol. 69, Issue 16-18, 2006, pp. 2227-2235.