Engineering applications of the self-organizing map

Proceedings of the IEEE

Volumn 84, Issue 10, 1996, Pages 1358-1383

  Kohonen, Teuvo ^{a,b,c,d,e,f,g,h}   Oja, Erkki ^a,g,i,j,k,l   Simula, Olli ^a   Visa, Ari ^a   Kangas, Jari ^a  

^a AALTO UNIVERSITY   (Finland)

^b ACADEMY OF FINLAND   (Finland)

^c UNIVERSITY OF YORK   (United Kingdom)

^d ÅBO AKADEMI UNIVERSITY   (Finland)

^e Academia Scientarium et Artium Europaea

^f des Arts et des Lettres

^g Finnish Academy of Sciences   (Finland)

^h Finnish Academy of Engineering Sciences

ⁱ Finnish Pattern Recognition Society   (Finland)

^j International Association of Pattern Recognition

^k European Neural Network Society

^l IEEE

more..

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; ALGORITHMS; DATA COMPRESSION; IMAGE COMMUNICATION SYSTEMS; INTERPOLATION; LEARNING SYSTEMS; NEURAL NETWORKS; VISUALIZATION;

ENGINEERING APPLICATIONS; NONLINEAR EXTRAPOLATION; ORDERED DECODER ARRAY; SELF ORGANIZING MAP;

SOFTWARE ENGINEERING;

EID: 0030270228     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/5.537105     Document Type: Article

References (197)

1. E. R. Addison and W. Dedmond, "Criteria for choosing connectionist paradigms for real-time data fusion and adaptive discrimination," Neural Networks, vol. 1, 1 suppl., p. 419, 1988.
2. J. T. Alander et al., "Surface type recognition by a hair sensor," in Communication Control and Signal Processing, E. Arikan, Ed. Amsterdam: Elsevier, 1990, pp. 1757-1764.
3. _, "Process error detection using self-organizing feature maps," in Artificial Neural Networks, T. Kohonen et al., Eds. Amsterdam: North-Holland, 1991, vol. 2, pp. 1229-1232.
4. _, "Process error detection using self-organizing feature maps," Res. Reps. A5, Rolf Nevanlinna Inst., Helsinki, Finland, 1991.
5. N. Ansari and Y. Chen, "A neural network model to configure maps for a satellite communication network," in Proc. GLOBECOM'90, IEEE Global Telecommun. Conf. and Exhibit.: Communications: Connecting the Future, Piscataway, NJ, 1990, vol. 2, pp. 1042-1046.
6. N. Ansari and D. Liu, "The performance evaluation of a new neural network based traffic management scheme for a satellite communication network," in Proc. GLOBECOM'91, IEEE Global Telecommun. Conf. Countdown to the New Millennium: Personal Communications Services (PCS), Piscataway, NJ, 1991, vol. 1, pp. 110-114.
7. A. Autere et al., "Surface type recognition by a hair sensor," Res. Rep. A2, Rolf Nevanlinna Inst., Helsinki, Finland, 1990.
8. N. R. Ball and K. Warwick, "Application of augmented-output self organizing feature maps to the adaptive control problem," in Proc. INNC'90, Int. Neur. Network Conf.. Dordrecht, The Netherlands: Kluwer, 1990, vol. 1, p. 242.
9. N. Ball et al., "Neural networks for power systems alarm handling," Neurocomputing, vol. 4, no. 1-2, pp. 5-8, 1992.
10. D. Ballard and C. Brown, Computer Vision. Englewood Cliffs, NJ: Prentice-Hall, 1982.
11. P. Barson et al., "Dynamic competitive learning applied to the clone detection problem," in Proc. Int. Workshop on Applications of Neural Networks to Telecommun., 2nd ed. Hillsdale, NJ: L. Erlbaum, 1995, pp. 234-241.
12. T. Baumann, A. Germond, and D. Tschudi, "Impulse test fault diagnosis on power transformers using Kohonen's self-organizing neural network," in Proc. 3rd Symp. on Expert Syst. Applicat. to Power Syst., Tokyo and Kobe, 1991.
13. K.-H. Becks, J. Dahm, and F. Seidel, "Analysing particle jets with artificial neural networks," in Industrial and Engineering, Applicat. of Artificial Intell. and Expert Syst. 5th Int. Conf. IEA/AIE-92, F. Belli and F. J. Radermacher, Eds. Berlin, Heidelberg: Springer, 1992, pp. 109-112.
14. D. S. Bradburn, "Reducing transmission error effects using a self-organizing network," in Proc. IJCNN'89, Int. Joint Conf. on Neur. Networks, Piscataway, NJ, 1989, vol. 2, pp. 531-537.
15. J. Buhmann, J. Lange, and C. von der Malsburg, "Distortion invariant object recognition by matching hierachically labeled graphs," in Proc. IJCNN'89, Int. Joint Conf. on Neur. Networks, Piscataway, NJ, 1989, vol. 1, pp. 155-159.
16. G. Burel and J.-Y. Catros, "Image compression using topological maps and MLP," in Proc. ICNN'93, Int. Conf. on Neur. Networks, Piscataway, NJ, 1993, vol. 2, pp. 727-731.
17. P. Burrascano, P. Lucci, G. Martinelli, and R. Perfetti, "Shear velocity estimation by the combined use of supervised and unsupervised neural networks," in Proc. ICASSP'90, Int. Conf. on Acoust., Speech and Signal Process., Piscataway, NJ, 1990, vol. 4, pp. 1921-1924.
18. S. Cai, H. Toral, and J. Qiu, "Flow regime identification by a self-organizing neural network," in Proc. ICANN'93, Int. Conf. on Artificial Neural Networks, S. Gielen and B. Kappen, Eds. London: Springer, 1993, p. 868.
19. S. Cai and H. Toral, "Flowrate measurement in air-water horizontal pipeline by neural network," in Proc. IJCNN-93-Nagoya, Int. Joint Conf. on Neur. Networks, Piscataway, NJ, 1993, vol. 2, pp. 2013-2016.
20. Y. Cai, "The application of the artificial neural network in the grading of beer quality," in Proc. WCNN'94, World Congress on Neur. Networks. Hillsdale, NJ: L. Erlbaum, 1994, vol. 1, pp. 516-520.
21. S. Carrato, G. L. Siguranza, and L. Manzo, "Application of ordered codebooks to image coding," in Proc. 1993 IEEE Workshop, Neur. Networks for Signal Process., Piscataway, NJ, 1993, pp. 291-300.
22. S. Carrato, "Image vector quantization using ordered codebooks: Properties and applications," Signal Process., vol. 40, no. 1, pp. 87-103, 1994.
23. S. Carter, R. J. Frank, and D. S. W. Tansley, "Clone detection in telecommunications software systems: A neural net approach," in Proc. Int. Workshop on Applicat. of Neur. Networks to Telecommun. Hillsdale, NJ: L. Erlbaum, 1993, pp. 273-287.
24. D. D. Caviglia et al., "Pre-placement of VLSI blocks through learning neural networks," in Proc. EDAC, Europe. Design Automat. Conf.. Glasgow, U.K./Washington, DC: IEEE Comput. Soc., 1990, pp. 650-654.
25. R.-I. Chang and P.-Y. Hsiao, "Force directed self-organizing map and its application to VLSI cell placement," in Proc. ICNN'93, Int. Conf. on Neur. Networks, Piscataway, NJ, 1993, vol. 1, pp. 103-109.
26. _, "Force directed self-organizing maps for L-shaped cell placement using delta learning rule," in Proc. ICNN'94, Int. Conf. on Neur. Networks, Piscataway, NJ, 1994, pp. 3381-3386.
27. Y. Chen, "Artificial neural networks and their applications in control and system engineering: An introduction of neural networks," Power Syst. Technol., no. 1, pp. 56-58, Jan. 1993.
28. R. W. Conners and C. A. Harlow, "Equal probability quantizing and texture analysis of radiographic images," Computer Graphics and Image Process., vol. 8, no. 3, pp. 447-463, Dec. 1978.
29. _, "A theoretical comparison of texture algorithms," IEEE Trans. Patt. Anal, and Mach. Intell., vol. PAMI-2, pp. 204-222, May 1980.
30. J. A. Corral, M. Guerrera, and P. J. Zufiria, "Image compression via optimal vector quantization: A comparison between SOM, LBG and k-means algorithms," in Proc. ICNN-94, Int. Conf. on Neur. Networks, IEEE, Piscataway, NJ, 1994, vol. 6, pp. 4113-4118.
31. P. Cosi, G. De Poli, and G. Lauzzana, 'Timbre classification by NN and auditory modeling," in Proc. ICANN'94, Int. Conf. on Artif. Neur. Networks, M. Marinaro and P. G. Morasso, Eds. London: Springer, 1994, vol. 2, pp. 925-928.
32. F. Davide, C. Di Natale, and A. D'Amico, "Sensor arrays and self-organizing maps for odour analysis in artificial olfactory systems," in Proc. ICANN'94, Int. Conf. on Artif. Neur. Networks, M. Marinaro and P. G. Morasso, Eds. London: Springer, 1994, vol. 1, pp. 354-357.
33. S. B. Davis and P. Mermelstein, "Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences," IEEE Trans. Acoust., Speech Signal Process., vol. ASSP-28, no. 4, pp. 357-366, 1980.
34. L. Ding, J. Li, and Y. Xi, Generalized self-organized learning in neural network modeling for nonlinear plants," Acta Electronica Sinica, vol. 20, no. 10, pp. 56-60, Oct. 1992.
35. S. Field, N. Davey, and R. Frank, "A complexity analysis of telecommunications software using neural networks," in Proc. 2nd Int. Workshop on Applicat. of Neural Networks to Telecommun. Hillsdale, NJ: L. Erlbaum, 1995, pp. 226-233.
36. F. Firenze, L. Ricciardiello, and S. Pagliano, "Self-organizing networks: A challenging approach to fault diagnosis of industrial processes," in Proc. ICANN'94, Int. Conf. on Artificial Neur. Networks, M. Marinaro and P. G. Morasso, Eds. London: Springer, 1994, vol. 2, pp. 1239-1242.
37. R. Fischl, "Application of neural networks to power system security: Technology and trends," in Proc. ICNN'94, Int. Conf. on Neur. Networks, Piscataway, NJ, 1994, pp. 3719-3723.
38. K. L. Fox, R. R. Henning, J. H. Reed, and R. P. Simonian, "A neural network approach toward intrusion detection," in Proc. 13th Natl. Computer Security Conf. Inform. Syst. Security Standards - The Key to the Future. Gaithersburg, MD: NIST, 1990, vol. 1, pp. 124-134.
39. T. Fritsch and W. Mandel, "Communication network routing using neural nets-numerical aspects and alternative approaches," in Proc. IJCNN'91 Int. Joint Conf. on Near. Networks, Piscataway, NJ, 1991, vol. 1, pp. 752-757.
40. T. Fritsch, M. Mittler, and P. Tran-Gia, "Artificial neural net applications in telecommunication systems," Neur. Comput. and Applicat., vol. 1, no. 2, pp. 124-146, 1993.
41. T. Fritsch, P. H. Kraus, H. Przuntek, and P. Tran-Gia, "Classification of Parkinson rating-scale-data using a self-organizing neural net," in Proc. ICNN'93, Int. Conf. on Neur. Networks, Piscataway, NJ, 1993, vol. 1, pp. 93-98.
42. T. Fritsch and S. Hanshans, "An integrated approach to cellular mobile communication planning using traffic data prestructured by a self-organizing feature map," in Proc. ICNN'93, Int. Conf. on Neur. Networks, Piscataway, NJ, 1993, vol. 2, pp. 822D-822I.
43. T. Fritsch, "Cellular mobile communication design using self-organizing feature maps," in Neural Networks in Telecommunications. Dordrecht, The Netherlands: Kluwer, 1994, pp. 211-232.
44. H. Furukawa, T. Ueda, and M. Kitamura, "A systematic method for rational definition of plant diagnostic symptoms by selforganizing neural networks," in Proc. 3rd Int. Conf. on Fuzzy Logic, Neur. Nets, and Soft Computing, Iizuka, Japan, Fuzzy Logic Syst. Inst., 1994, pp. 555-556.
45. D. Gabor, "Theory of communication," J. IEE, vol. 93, pp. 429-457, 1946.
46. J. J. Garside, R. H. Brown, T. L. Ruchti, and X. Feng, "Nonlinear estimation of torque in switched reluctance motor using grid locking and preferential training techniques on selforganizing neural networks," in Proc. IJCNN'92, Int. Joint Conf. on Neur. Networks, Piscataway, NJ, 1992, vol. 2, pp. 811-816.
47. K. Gelli, R. A. McLaughlan, R. Challoo, and S. I. Omar, "Multible sensor target classification using an unsupervised hybrid neural network," in Proc. ICNN'94, Int. Conf. on Neur. Networks, Piscataway, NJ, 1994, pp. 4028-4032.
48. _, "A hybrid neural network architecture for sensor fusion," in Proc. WCNN'94, World Congress on Neur. Networks. Hillsdale, NJ: L. Erlbaum, 1994, vol. 1, pp. 679-685.
49. A. Gersho, "On the structure of vector quantizers," IEEE Trans. Inform. Theory; vol. IT-25, pp. 373-380, 1979.
50. R. Goodacre, "Characterization and quantification of microbial systems using pyrolysis mass spectrometry: Introducing neural networks to analytical pyrolysis," Microbiol. Europe, vol. 2, no. 2, pp. 16-22, 1994.
51. K. Goser, K. M. Marks, U. Rueckert, and V. Tryba, "Selbstorganizierende Parameterkarten zur Prozessüberwachung und - Voraussage," in 3rd Int. GI-Cong. on Wissensbasierte Syst. München/Berlin/Heidelberg: Springer, Oct. 16-17, 1989, pp. 225-237.
52. E. Govekar, E. Susič, P. Mǔzič, and I. Grabec, "Self-organizing neural network application to technical process parameters estimation," in Artificial Neural Networks, vol. 2, I. Aleksander and J. Taylor, Eds. Amsterdam: North-Holland, vol. I, 1992, pp. 579-582.
53. R. M. Gray, "Vector quantization," IEEE ASSP Mag., vol. 1, pp. 4-29, Apr. 1984.
54. B. Grossman, X. Gao, and M. Thursby, "Composite damage assessment employing an optical neural network processor and an embedded fiber optic sensor array," in Proc. SPIE - The Int. Soc. for Opt. Eng., vol. 1588, pp. 64-75, 1991.
55. A. Habibi, "Neural networks in bandwidth compression," in Proc. SPIE - The Int. Soc. for Optical Engineering. SPIE: Bellingham, WA, 1991, vol. 1567, pp. 334-340.
56. R. Haralick, K. Shanmugan, and I. Dinstein, "Textural features for image classification," IEEE Trans. Syst. Man Cybern., vol. SMC-3, pp. 610-621, Nov. 1973.
57. R. M. Haralick, "Statistical and structural approaches to texture," in Proc. 4IJCPR, Int. Joint Conf. on Patt. Recognit., Tokyo: Patt. Recognition Soc. Japan, 1978, pp. 45-69.
58. _, "Statistical and structural approaches to texture," Proc. IEEE, vol. PROC-67, pp. 786-804, May 1979.
59. _, "Statistical image texture analysis," Handbook of Pattern Recognition and Image Processing, T. Y. Young and K.-S. Fu, Eds. New York: Academic, 1986.
60. J. Heikkonen, P. Koikkalainen, and E. Oja, "Self-organizing maps for collision-free nevigation," in Proc. World Congress on Near. Networks WCNN, Portland, OR, 1993, vol. 3, pp. 141-144.
61. _, "From situations to actions: Motion behavior learning by self-organization," in Proc. Int. Conf. on Artif. Neur. Networks ICANN-93, Amsterdam, 1993, pp. 262-267.
62. A. Hemani and A. Postula, "Cell placement by self-organization," Neur. Networks, vol. 3, no. 4, pp. 337-338, 1990.
63. _, "A neural net based self organizing scheduling algorithm," in Proc. EDAC, Europe. Design Automation Conf.. Washington, DC: IEEE Comput. Soc. Press, 1990, pp. 136-140.
64. _, "Scheduling by self-organization," in Proc. IJCNN-90-Wash.-DC, Int. Joint Conf. on Neur. Networks, Piscataway, NJ, 1990, vol. 2, pp. 543-546.
65. A. Hemani, "High-level synthesis of synchronous digital systems using self-organization algorithms for scheduling and binding," Ph.D. dissertation. Royal Inst. Technol., Stockholm, Sweden, 1992.
66. _, "Self-organization and its application to binding," in Proc. 6th Int. Conf. on VLSI Design, Bombay, 1993.
67. J. Henriksson, "Decision directed diversity combiners for digital radio links," Ph.D. dissertation, Acta Polytechnica Scandinavica Electrical Engineering Series no. 54, Helsinki, Finland, 1984.
68. J. A. Henriksson, K. Raivio, and T. Kohonen, Finnish Pat. 85, 548, U.S. Pat. 5, 233, 635, Australian Pat. 636, 494.
69. Y.-Y. Hsu and C.-C. Yang, "Design of artificial neural networks for short-term load forecasting. I. Self-organizing feature maps for day type identification," in IEE Proc. C [Generation, Transmission and Distribution], vol. 138, no. 5, pp. 407-413, 1991.
70. H. Hyötyniemi, "Optimal control of dynamic systems using self-organizing maps," in Proc. ICANN' 93, Int. Conf. on Artificial Neural Networks, S. Gielen and B. Kappen, Eds. London: Springer, 1993, pp. 850-853.
71. A. C. Izquierdo, J. C. Sueiro, and J. A. H. Mendez, "Self-organizing feature maps and their application to digital coding of information," in P roc. IWANN'91, Int. Workshop on Artificial Neur. Networks, A. Prieto, Ed. Berlin, Heidelberg: Springer, 1991, pp. 401-108.
72. J. W. Jiang and M. Jabri, "A new self-organization strategy for floorplan design," in Proc. IJCNN'92 Int. Joint Conf. on Neur. Networks, Piscataway, NJ, 1992, vol. 2, pp. 510-515.
73. _, "A new self-organization strategy for floorplan design," in Proc. ACNN'92, 3rd Australian Conf. on Neur. Networks, P. Leong and M. Jabri, Eds., Sydney, Australia, Australian Neurosci. Soc.; Australian Telecoms, and Electron. Res. Board; Sydney Univ., 1992, pp. 235-238.
74. J. Kangas, "Phoneme recognition using time-dependent versions of self-organizing maps," in Proc. ICASSP-91, Int. Conf. on Acoust., Speech, Signal Process., Piscataway, NJ, 1991, pp. 101-104.
75. J. Kangas and T. Kohonen, "Developments and applications of the self-organizing map and related algorithms," in Proc. IMACS Int. Symp. on Signal Process., Robotics and Neur. Networks, Lille, France, 1994, pp. 19-22.
76. J. Kangas, "Increasing the error tolerance in transmission of vector quantized images by self-organizing map," in Proc. ICANN'95, Int. Conf. on Artificial Neur. Networks, Paris, France, EC2&Cie, 1995, vol. 1, pp. 287-291.
77. _, "Sample weighting when training self-organizing maps for image compression," in Neur. Networks for Signal Processing. Proc. 1995 IEEE Workshop, Piscataway, NJ, 1995, pp. 343-350.
78. M. Kasslin, J. Kangas, and O. Simula, "Process state monitoring using self-organizing maps," in Artificial Neural Networks, vol. 2, I. Aleksander and J. Taylor, Eds. Amsterdam: North-Holland, 1992, pp. 1532-1534.
79. N. Kashiwagi and T. Tobi, "Heating and cooling load prediction using a neural network system," in Proc. IJCNN-93-Nagoya, Int. Joint Conf. on Neur. Networks, Piscataway, NJ, 1993, vol. 1, pp. 939-942.
80. W. Kessler, D. Ende, R. W. Kessler, and W. Rosenstiel, "Identification of car body steel by an optical on line system and Kohonen's self-organizing map," in Proc. ICANN'93, Int. Conf. on Artificial Neur. Networks, S. Gielen and B. Kappen, Eds. London: Springer, 1993, p. 860.
81. H. Keuchel, E. von Puttkamer, and U. R. Zimmer,"SPIN-Learning and forgetting surface classifications with dynamic neural networks," in Proc, ICANN'93, Int. Conf. on Artificial Near. Networks, S. Gielen and B. Kappen, Eds. London: Springer, 1993, pp. 230-235.
82. S.-S. Kim and C.-M. Kyung, "Global placement of macro cells using self-organization principle," in Proc. 1991 IEEE Int. Symp. on Circ. and Syst. Piscataway, NJ, 1991, vol. 5, pp. 3122-3125.
83. B. Kiziloglu, V. Tryba, and W. Daehn, "Digital circuit partition by self-organizing maps: A comparison to classical methods," in Proc. IJCNN-93-Nagoya, Int. Joint Conf. on Near. Networks, Piscataway, NJ, 1993, vol. 3, pp. 2413-2416.
84. T. Kohonen et al. "Spectral classification of phonemes by learning subspaces," in Proc. ICASSP'79, R. C. Olson, Ed., Piscataway, NJ, 1979, pp. 97-100.
85. T. Kohonen, Self-Organization and Associative Memory, 3rd ed. Berlin/Heidelberg: Springer, 1989.
86. T. Kohonen, K. Mäkisara, and T. Saramäki, "Phonotopic maps - Insightful representation of phonological features for speech recognition," in Proc. 7ICPR, Int. Conf. on Patt. Recognit., IEEE Computer Soc. Press, 1984, pp. 182-185.
87. T. Kohonen, "Learning vector quantization for pattern recognition," Rep. TKK-F-A601, Helsinki Univ. Technol., Dept. Techn. Phys., Lab. Computer and Inform. Sci., 1986, p. 18.
88. _, "Dynamically expanding context, with application to the correction of symbol strings in the recognition of continuous speech," in Proc. 8ICPR, Int. Conf. on Patt. Recognition, IEEE Computer Soc. Press, 1986, pp. 1148-1151.
89. T. Kohonen, G. Barna, and R. Chrisley, "Statistical pattern recognition with neural networks: Benchmarking studies," in Proc. IEEE Int. Conf. on Neur. Networks, San Diego, CA, July 24-27, 1988, vol. 1, pp. 61-68.
90. T. Kohonen, "The 'neural' phonetic typewriter," Computer, vol. 21, no. 3, pp. 11-22, 1988.
91. _, Finnish Pat. 83,577, U.K. Pat. 2,233,865.
92. _, "Improved versions of learning vector quantization," in Proc. IEEE Int. Joint Conf. on Neur. Networks, San Diego, CA, June 17-21, 1990, vol. 1, pp. 545-550.
93. _, 'The self-organizing map," in Proc. IEEE, 1990, vol. 78, pp. 1464-1480.
94. T. Kohonen et al., "Combining linear equalization and selforganizing adaptation in dynamic discrete-signal detection," in Proc. IJCNN-90-San Diego, Int. Joint Conf. on Neur. Networks, 1990, vol. 1, pp. 223-228.
95. _, "An adaptive discrete-signal detector based on selforganizing maps," in Proc. IJCNN-90-WASH-DC, Int. Joint Conf. on Neur. Networks, 1990, vol. 2, pp. 249-252.
96. _, "Performance evaluation of self-organizing map based neural equalizer in dynamic discrete-signal detection," Artificial Neural Networks, Proc. ICANN-91. Amsterdam: North-Holland, 1991, vol. 2, pp. 1677-1680.
97. T. Kohonen, "Self-organizing maps: Optimization approaches," in Artificial Neural Networks, T. Kohonen, K. Mäkisära, O. Simula, and J. Kansas, Eds. Amsterdam: North-Holland, vol. 2, pp. 981-990, 1991.
98. _, Finnish Pat. 90,705, U.S. Pat. 5,428,644.
99. T. Kohonen, J. Kangas, and J. Laaksonen, SOM_PAK, The Self-Organizing Map Program Package, Helsinki Univ. Technol., Lab. Computer and Information Sci., Espoo, Finland, 1995; "cochlea.hut.fi" (130.233.168.48).
100. T. Kohonen et al. "Start-up behavior of a neural network assisted decision feedback equaliser in a two-path channel," in Proc. Int. Conf. on Communications, Chicago, IL, 1992, pp. 1523-1527.
101. T. Kohonen, "Things you haven't heard about the selforganizing map," in Proc. ICNN'93, Int. Conf. on Neur. Networks, 1993, pp. 1147-1156.
102. _, "Self-organizing maps," Springer Series in Information Sciences, 1995.
103. _, "The adaptive-subspace SOM (ASSOM) and its use for the implementation of invariant feature detection," in Proc. ICANN'95, Int. Conf. on Artificial Neur. Networks. Paris: EC2&Cie, 1995, vol. 1, pp. 3-10.
104. T. Kohonen, "Emergence of invariant-feature detectors in selforganization," in Computational Intelligence: A Dynamic System Perspective, M. Palaniswami et al., Eds. New York: IEEE Press, 1995, pp. 17-31.
105. M. Konishi et al., "Application of neural network to operation guidance in blast furnace," in 3rd Europe. Seminar on Neur. Computing: The Marketplace. London: IBC Tech. Services, 1990, p. 13.
106. M. Kurimo, "Hybrid training method for tied mixture density hidden Markov models using Learning Vector Quantization and Viterbi estimation," in Proc. 1994 IEEE Workshop, Neur. Networks for Signal Process. IV, J. Vlontzos, J.-N. Hwang, and E. Wilson, Eds. New York: IEEE Press, 1994, pp. 362-371.
107. J. Lampinen and E. Oja, "Self-organizing maps for spatial and temporal AR models," in Proc. 6th Scandinavian Conf. Image Anal., Oulu, Finland, June 19-22, 1989, pp. 120-127.
108. J. Lampinen and O. Taipale, "Optimization and simulation of quality properties in paper machine with neural networks," in Proc. ICNN'94, Int. Conf. on Neur. Networks, Piscataway, NJ, 1994, pp. 3812-3815.
109. J. Lampinen and E. Oja, "Distortion tolerant pattern recognition based on self-organizing feature extraction," IEEE Trans. Neur. Networks. vol. 6, pp. 539-547, 1995.
110. R. A. Lemos, M. Nakamura, and H. Kuwano, "Applying a self-organizing map to sensor-array characterization," in Proc. IJCNN-93-Nagoya, Int. Joint Conf. on Neur. Networks, Piscataway, NJ, IEEE Service Center, 1993, vol. II, pp. 2009-2012.
111. S. E. Levinson, L. R. Rabiner, and M. M. Sondhi,"An introduction to the application of the theory of probabilistic functions of a Markov process to automatic speech recognition," Bell Syst. Tech. J., pp. 1035-1073, 1983.
112. S. P. Luttrell, "Derivation of a class of training algorithms," IEEE Trans. Neur. Networks, vol. 1, pp. 229-232, June 1990.
113. N. Macabrey, T. Baumann, and A. J. Germond, "Load forecasting on an electrical system with the aid of the Kohonen neural network," Bull, des Schweizerischen Elektrotechnischen Vereins und des Verbandes Schweizerischer Elektrizitätswerke, vol. 83, no. 5, pp. 13-19, 1992.
114. J. Makhoul, S. Roucos, and H. Gish, "Vector quantization in speech coding," in Proc. IEEE, vol. PROC-73, pp. 1551-1588, 1985.
115. J. Mäntysalo, K. Torkkola, and T. Kohonen, "Mapping context dependent acoustic information into context independent form by LVQ," Speech Commun., vol. 14, no. 2, pp. 119-130, 1994.
116. K. M. Marks and K. F. Goser, "Analysis of VLSI process data based on self-organizing feature maps," in Proc. Neuro-Nîmes, Int. Workshop on Neur. Networks and Their Applications, Nanterre, France, EC2, 1988, pp. 337-348.
117. J. D. McAuliffe, L. E. Atlas, and C. Rivera, "A comparison of the LEG algorithm and Kohonen neural network paradigm for image vector quantization," in IEEE Proc. ICASSP-90, Int. Conf. on Acoust., Speech, Signal Process., Piscataway, NJ, 1990, vol. 4, pp. 2293-2296.
118. K. Möller, "A multiassociative memory for control," in Proc. ICANN'93, Int. Conf. on Artif. Neur. Networks, S. Gielen and B. Kappen, Eds. London, Springer, 1993, pp. 593-596.
119. L. Monostori and A. Bothe, "Convergence behavior of connectionist models in large scale diagnostic problems," in 5th Int. Conf. on Industrial and Engineering Applications of Artif. Intell. and Expert Syst., F. Belli and F. J. Radermacher, Eds. Berlin, Heidelberg: Springer, 1992, pp. 113-122, IEA/AIE-92
120. H. Mori, Y. Tamaru, and S. Tsuzuki, "An artificial neuralnet based technique for power system dynamic stability with the Kohonen model," in Conf. Papers. 1991 Power Industry Computer Application Conf. 17th PICA Conf., Piscataway, NJ, pp. 293-301, 1991.
121. H. Mori, Y. Tamaru, and S. Tsuzuki, "An artificial neural-net based technique for power system dynamic stability with the Kohonen model," IEEE Trans. Power Syst., vol. 7, pp. 856-864, May 1992.
122. C. Muller et al., "A neural network tool for forecasting French electricity consumption," in Proc. WCNN'94, World Congress on Neur. Networks. Hillsdale, NJ: L. Erlbaum, 1994, vol. 1, pp. 360-365.
123. N. M. Nasrabadi and R. A. King, "Image coding using vector quantization: A review," IEEE Trans. Comm., vol. 36, no. 8, pp. 957-971, 1988.
124. N. M. Nasrabadi and Y. Feng, "Vector quantization of images based upon the Kohonen self-organization feature maps," Neur. Networks, vol. 1, 1 suppl., p. 518, 1988.
125. J. A. Naylor, "A neural network algorithm for enhancing delta modulation/LPC tandem connections," in Proc. ICASSP-90, Int. Conf. on Acoust., Speech Signal Process., Piscataway, NJ, 1990, vol. 1, pp. 211-224.
126. D. J. Nelson, S.-J. Chang, and M. Chen, "Modeling the time of occurrence of electric utility peak loads," in Proc. 1992 Summer Computer Simulation Conf. 24th Annu. Computer Simulation Conf., P. Luker, Ed. San Diego, CA: SCS, 1992, pp. 212-217.
127. D. Niebur and A. J. Germond, "Power system static security assessment using the Kohonen neural network classifier," in Conf. Papers. 1991 Power Industry Computer Application Conf. 17th PICA Conf., Piscataway, NJ, 1991, pp. 270-277.
128. _, "Power flow classification for static security assessment," in Proc. 1st Int. Forum on Applications of Neural Networks to Power Syst., M. A. El-Sharkawi and R. J. Marks II, Eds., Piscataway," NJ, 1991, pp. 83-88.
129. _, "Unsupervised neural net classification of power system static security states," in Proc. 3rd Symp. on Expert Syst. Applicat. to Power Syst., Tokyo and Kobe, 1991.
130. _, "Unsupervised neural net classification of power system static security states," Int. J. Electrical Power and Energy Syst., vol. 14, no. 2-3, pp. 233-242, Apr.-June 1992.
131. _, "Power system static security assessment using the Kohonen neural network classifier," IEEE Trans. Power Syst., vol. 7, pp. 865-872, May 1992.
132. J. O'Brien and C. Reeves, "Comparison of neural network paradigms for condition monitoring," in Proc. 5th Int. Congress on Condition Monitoring and Diagnostic Engineering Management, R. B. K. N. Rao and G. J. Trmal, Eds. Bristol, UK: Univ. W. England, 1993, pp. 395-400.
133. E. Oja, Subspace Methods of Pattern Recognition. Letchworth, U.K.: RSP/Wiley, 1983.
134. _, "Self-organizing maps and computer vision," in Neural Networks for Perception: Human and Machine Perception, vol. 1, H. Wechsler,-Ed. Boston: Academic, 1992, pp. 368-385.
135. E. Oja and J. Lampinen, "Unsupervised learning for feature extraction," in Computational Intelligence: Imitating Life, J. M. Zurada, R. J. Marks II, and C. J. Robinson, Eds. New York: IEEE Press, pp. 13-22, 1994.
136. M. Peng, C. L. Nikias, and J. G. Proakis, "Adaptive equalization for PAM and QAM signals with neural networks," Conf. Record of the 25th Asilomar Conf. on Signals, Syst. and Computers, vol. 1. New York: IEEE Comput. Soc., 1991, pp. 496-500.
137. G. Poggi and E. Sasso, "Codebook ordering techniques for address-'predictive VQ," in Proc. ICASSP-93. Int. Conf. on Acoust., Speech Signal Process., Piscataway, NJ, 1993, vol. 5, pp. 586-589.
138. J. G. Proakis, "Advances in equalization for intersymbol interference" in Advances in Communications Systems Theory and Applications, vol. 4, A. J. Viterbi, Ed. New York: Academic, 1975.
139. _, Digital Communications, 2nd ed. New York: McGrawHill, 1989.
140. L. Raffo, D. D. Caviglia, and G. M. Bisio, "Neural clustering algorithms for classification and pre-placement of VLSI cells," in Proc. COMPEURO'92, The Hague, Netherlands, May 4-8, 1992, pp. 556-561.
141. K. Raivio, O. Simula, and J. Henriksson, "Improving decision feedback equaliser performance using neural networks," Electron. Lett., vol. 27, no. 23, pp. 2151-2153, 1991.
142. K. Raivio and T. Kohonen, "Detection of nonlinearly distorted and two-path propagated signals using SOM-based equalizers," in Proc. ICANN'94, Int. Conf. on Artificial Neur. Networks, Springer, London, 1994, vol. 2, pp. 1037-1040.
143. K. Raivio, J. Henriksson, and O. Simula, "Neural detection of QAM modulation in the presence of interference," in Proc. ICAW'95, Int. Conf. on Neur. Networks, 1995.
144. E. A. Riskin, L. E. Atlas, and S.-R. Lay, "Ordered neural maps and their applications to data compression," in Proc. Workshop on Neur. Networks for Signal Processing, B. H. Juang, S. Y. Kung, and C. A. Kamm, Eds., Piscataway, NJ, 1991, pp. 543-551.
145. H. Ritter, T. Martinetz, and K. Schulten, Neural Computation and Self-Organizing Maps: An Introduction. Reading, MA: Addison-Wesley, 1992.
146. H. Ritter, "Parametrized self-organizing maps," in Proc. ICANN'93 Int. Conf. on Artificial Neur. Networks, S. Gielen and B. Kappen, Eds. London, UK: Springer, 1993, pp. 568-575.
147. _, "Parametrized self-organizing maps for vision learning tasks," in Proc. ICANN'94, Int. Conf. on Artificial Neur. Networks, M. Marinaro and P. G. Morasso, Eds. London: Springer, 1994, vol. 2, pp. 803-810.
148. H. Robbins and S. Monro, "A stochastic approximation method," Ann. Math. Statist., vol. 22, pp. 400-407, 1951.
149. R. Sadananda and A. Shestra, "Topological maps for VLSI placement," in Proc. IJCNN-93-Nagoya, Int. Joint Conf. on Neur. Networks, Piscataway, NJ, 1993, vol. 2, pp. 1955-1958.
150. J. W. Sammon Jr., "A nonlinear mapping for data structure analysis," IEEE Trans. Computers, vol. C-18, pp. 401-409, 1969.
151. L. J. Scaglione, "Neural network application to particle impact noise detection," in Proc. ICNN'94, Int. Conf. on Neur. Networks, Piscataway, NJ, 1994, pp. 3415-3419.
152. A. Schnettler and V. Tryba, "Artificial self-organizing neural network for partial discharge source recognition," Archiv für Elektrotechnik, vol. 76, pp. 149-154, 1993.
153. A. Schnettler and M. Kurrat, "Partial discharge diagnosis using an artificial neural network," in Proc. 8th Int. Symp. on High Voltage Engineering, Yokohama, 1993, pp. 57-60.
154. T. Shen, J.-R. Can, and L.-S. Yao, "Application of selforganization neural network in VLSI placement," Chinese J. Computers, vol. 15, no. 9, pp. 648-654, 1992.
155. _, "Application of fuzzy neural computing in circuit partitioning," Chinese J. Computers, vol. 15, no. 9, pp. 641-647, 1992.
156. _, "A neural network approach to cell placement," Acta Electronica Sinica, vol. 20, no. 10, pp. 100-105, Oct. 1992.
157. O. Simula and A. Visa, "Self-organizing feature maps in texture classification and segmentation," in Artificial Neural Networks, vol. 2, I. Aleksander and J. Taylor, Eds. Amsterdam: North-Holland, 1992, pp. 1621-1628.
158. O. Simula and J. Kangas, "Process monitoring and visualization using self-organizing maps" in Neural Networks for Chemical Engineers, A. B. Bulsari, Ed. New York: Elsevier, 1995, ch. 14.
159. P. H. Skinnemoen, "Robust communication with modulation organized vector quantization," Ph.D. dissertation, Universitet i Trondheim, Norway, 1994.
160. P. J. C. Skitt, M. A. Javed, S. A. Sanders, and A. M. Higginson, "Process monitoring using auto-associative, feed-forward artificial neural networks," J. Intell. Manuf., vol. 4, no. 1, pp. 79-94, Feb. 1993.
161. T. Sorsa, H. N. Koivo, and H. Koivisto, "Neural networks in process fault diacnosis," IEEE Trans. Syst., Man, Cybern., vol. 21, no. 4, pp. 815-825, 1991.
162. T. Sorsa, H. N. Koivo, and R. Korhonen, "Application of neural network in the detection of breaks in a paper machine," in IFAC Symp. on On-Line Fault Detection and Supen-ision in the Chemical Process Industries, preprints, Newark, DE, Apr. 1992, pp. 162-167.
163. T. Sorsa and H. N. Koivo, "Application of artificial neural networks in process fault diagnosis," Automatica, vol. 29, no. 4, pp. 843-849, 1993.
164. M. Takahashi, K. Kyuma, and E. Funada, "10000 cell placement optimization using a self-organizing map," in Proc. IJCNN-93-Nagoya, Int. Joint Conf. on Neur. Networks, Piscataway, NJ, 1993, vol. 3, pp. 2417-2420.
165. H. Tang and O. Simula, "The optimal utilization of multi-service SCP," in Proc. IFIP-TCG Working Conf. on Intell. Networks, Copenhagen, Denmark, 1995, pp. 157-167.
166. _, "Neural adaptation for optical traffic shaping in telephone systems," in Proc. ICAW'95, Int. Conf. on Neur. Networks, Perth, Australia, 1995.
167. C. W. Therrien, Decision, Estimation and Classification. New York: Wiley, 1989.
168. K. Torkkola et al., "Status report of the Finnish phonetic typewriter project," in Artificial Neural Networks, T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, Eds. Amsterdam: North-Holland, 1991, vol. 1,'pp. 771-776.
169. W. Trumper, "A neural network as a self-learning controller," Automatisierungstechnik, vol. 40, no. 4, pp. 142-147, Apr. 1992.
170. V. Tryba, S. Metzen, and K. Goser, "Designing basic integrated circuits by self-organizing feature maps," in Neuro-Nîmes '89. Int. Workshop on Neur. Networks and Their Applications, Nanterre, France, 1989, pp. 225-235.
171. V. Tryba and K. Goser, "Self-organizing feature maps for process control in chemistry," in Artificial Neural Networks, T Kohonen, K. Mäkisara, O. Simula, and J. Kangas, Eds. Amsterdam: North-Holland, 1991, pp. 847-852.
172. A Ultsch, "Self organized feature maps for monitoring and knowledge acquisition of a chemical process," in Proc. ICANN'93, Int. Conf. on Artificial Near. Networks, S. Gielen and B. Kappen, Eds. London: Springer, 1993, pp. 864-867.
173. L. V. Gool, P. Dewaele, and A. Oosterlinck, Survey Texture Analysis Anno 1983, Computer Vision, Graphics, and Image Processing, vol. 29, pp. 336-357, 1985.
174. M. Vapola, O. Simula, T. Kohonen, and P. Meriläinen, "Representation and identification of fault conditions of an anaesthesia system by means of the self-organizing map," in Proc. ICANN'94 Int. Conf. on Artificial Neur. Networks, M. Marinaro and P. G. Morasso, Eds. Berlin: Springer-Verlag, 1994, vol. 1, pp. 246-249.
175. A. Visa, "Identification of stochastic textures with multiresolution features and self-organizing maps," in Proc. 10th Int. Conf. on Pan. Recognition, Atlantic City, NJ, June 16-21, 1990, pp. 518-522.
176. _, "A texture classifier based on neural network principles," in Proc. Int. Joint Conf. on Neur. Networks, San Diego, CA, June 17-21, 1990, vol. 1, pp. 491-496.
177. A. Visa and A. Langinmaa, "A texture based approach to evaluate solid print quality," in Proc. IARICAI, W. H. Banks, Ed. London: Pentech, 1992.
178. A. Visa, K. Valkealahti, J. Iivarinen, and O. Simula, "Experiences from operational cloud classifier based on self-organizing map," SPIE Applicat. of Artificial Neur. Networks V, 1994, vol. 2243, pp. 484-495.
179. A. Waibel et al., "Phoneme recognition using time-delay neural networks," IEEE Trans. Acoust., Speech Signal Process., vol. 37, no. 3, pp. 328-339, 1989.
180. J. Walter and H. Ritter, "Local PSOMs and Chebyshev PSOMs improving the parametrized self-organizing maps," in Proc. ICANN'95, Int. Conf. on Artificial Neur. Networks, F. Fogelman-Souliè and P. Gallinari, Eds. Paris: EC2&Cie, 1995, vol. 1, pp. 95-102.
181. S. Watanabc et al., "Evaluation and selection of variables in pattern recognition," in Computer and Information Sciences, vol. 2, J. Tou, Ed. New York: Academic, 1967, pp. 91-122.
182. F. Wen and Z. Han, "Combined use of Kohonen's model and BP model for the calculation of energy losses in distribution systems," in 3rd Bienn. Symp. on Indust. Electric Power Applicat., Ruston, LA, Louisiana Tech. Univ., 1992, pp. 268-277.
183. J. S. Weszka, C. R. Dyer, and A. Rosenfeld, "A comparative study of texture measures for terrain classification," IEEE Trans. Syst. Man and Cybern., vol. SMC-6, pp. 269-285, Apr. 1976.
184. G. Whittington and T. Spracklen, "The application of a neural network model to sensor data fusion," in Proc. SPIE - The Int. Soc. for Opt. Engineering, vol. 1294, pp. 276-283, 1990.
185. J.-M. Wu, J.-Y. Lee, Y.-C. Tu, and C.-Y. Liou," "Diagnoses for machine vibrations based on self-organization neural network," in Proc. IECON'91, Int. Conf. on Industrial Electron., Contr. and Instrumentation, Piscataway, NJ, 1991, vol. 2, pp. 1506-1510.
186. L. Xu and E. Oja, "Randomized Hough transform (RHT): Basic mechanisms, algorithms, and complexities," Computer Vision, Graphics, and Image Processing: Image Understanding, vol. 57, pp. 131-154, 1993.
187. T. Yamaguchi, M. Tanabe, J. Murakami, and K. Goto, "An adaptive control with fuzzy associative memory system," Trans. Inst. Electrical Engineers of Japan, Part C, vol. 111-C, no. 1, pp. 40-46, Jan. 1991.
188. T. Yamaguchi, M. Tanabe, and T. Takagi, "Fuzzy associative memory applications to control," in Artificial Neural Networks, T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, Eds. Amsterdam: North-Holland, vol. 2, pp. 1249-1252, 1991.
189. T. Yamaguchi, M. Tanabe, K. Kuriyama, and T. Mita, "Fuzzy adaptive control with an associative memory system," in Int. Conf. on Contr. '91 (Conf. Publ. no. 332). London: IEE, 1991, vol. 2, pp. 944-949.
190. M. Yasunaga, M. Asai, K. Shibata, and M. Yamada, "Selforganization capability for eliminating defective neurons in neural network LSI's," Trans. Inst, of Electron., Information and Commun. Engineers, vol. J75D-I, no. 11, pp. 1099-1108, Nov. 1992.
191. I. Yläkoski and A. Visa, "A two-stage classifier for wooden boards," in Proc. 8th SCIA, Scand. Conf. on Image Anal., Tromsø, Norway, NOBIM, 1993, vol. 1, pp. 637-641.
192. Y. Jilai, G. Zhizhong, and L. Zhuo, "A new fast method for supplying measures to avoid the high voltage mode of electromagnetic voltage transformer," in Proc. 1st Int. Forum on Applications of Near. Networks to Power Syst., M. A. ElSharkawi and R. J. Marks II, Eds., Piscataway, NJ, 1991, pp. 293-296.
193. C.-X. Zhang and D. A. Mlynski, "VLSI-placement with a neural network model," in Proc. Int. Symp. on Circ. and Syst., New Orleans, LA, 1990, pp. 475-478.
194. C. Zhang and D. A. Mlynski, "Ein neuer VLSI-plazierungsalgorithmus mit neuronalem lernmodell," GME Fachbericht, vol. 8, pp. 297-302, 1991.
195. C. Zhang, A. Vogt, and D. A. Mlynski, "Neuronale plazierungsalgorithmen," Elektronik, no. 15, pp. 68-72, 1991.
196. _, "Floorplan design using a hierarchical neural learning algorithm," in Proc. Int. Symp. on Circ. and Syst., Singapore, 1991, pp. 2060-2063.
197. C.-X. Zhang and D. A. Mlynski, "Neural somatotopical mapping for VLSI placement optimization," in Proc. IJCNN-91 Int. Joint Conf. on Near. Networks, Singapore, 1991, pp. 863-868.