Generalized hamming networks and applications

Neural Networks

Volumn 18, Issue 7, 2005, Pages 896-913

  Koutroumbas, Konstantinos ^a   Kalouptsidis, Nicholas ^b  

^a NATIONAL OBSERVATORY OF ATHENS   (Greece)

^b UNIVERSITY OF ATHENS   (Greece)

Author keywords

Classification; Clustering; Competitors generating module; Decoding module; Function optimization; GEMNET; Hamming Maxnet; HITNET; Mathematical and computational analysis; Non linear hamming networks; Quantization; SELECTRON

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; DECODING; FUNCTIONS; MATHEMATICAL MODELS; OPTIMIZATION;

CLASSIFICATION/CLUSTERING; DECODING MODULE; FUNCTION OPTIMIZATION; GEMNET; HAMMING MAXNET; HITNET; MATHEMATICAL AND COMPUTATIONAL ANALYSIS; NON-LINEAR HAMMING NETWORKS; QUANTIZATION; SELECTRON;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLUSTER ANALYSIS; COMPUTER; COMPUTER MODEL; COMPUTER PROGRAM; PRIORITY JOURNAL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; MATHEMATICS; NEURAL NETWORKS (COMPUTER);

EID: 24344484393     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2005.02.003     Document Type: Article

References (45)

1. D.Y. Akstn A high-precision high-resolution WTA-MAX circuit of O(N) complexity IEEE Transactions on Circuits and Systems II 49 1 2002
2. M.R. Anderberg Cluster analysis for applications 1973 Academic Press San Diego, CA
3. E.E. Baum, J. Moody, and F. Wilczek Internal representations for associative memory Biological Cybernetics 59 1987 217 228
4. G.A. Carpenter, and S. Grossberg A massively parallel architecture for a self-organizing neural pattern recognition machine Computer Vision, Graphics and Image Processing 37 1987 54 115
5. G. Cauwenberghs, and V. Pedroni A low-power CMOS analog vector quantizer IEEE Journal of Solid-State Circuits 32 1997 1278 1283
6. C.-M. Chen, M.-H. Hsu, and T.-Y. Wang A fast winner-take-all neural networks with the dynamic ratio Journal of Information Science and Engineering 18 2002 211 222
7. J. Choi, and B.J. Sheu A high-precision VLSI winner-take-all circuit for self-organizing neural networks IEEE Journal of Solid-State Circuits 28 1993 576 584
8. U. Cilingiroglu A charge-based neural hamming classifier IEEE Journal of Solid-State Circuits 28 1993 59 67
9. M.A. Cohen, and S. Grossberg Absolute stability of global pattern formation and parallel memory storage by competitive neural networks IEEE Transactions SMC 13 1983 815 826
10. H.A. David Order statistics 2nd ed 1981 Wiley New York
11. W.C. Davidon Variable metric method for minimization SIAM Journal Optimization 1 1991 1 17
12. R.O. Duda, and P.E. Hart Pattern Classification and Scene Analysis 1973 Wiley New York
13. B. Everitt Cluster analysis 2nd ed 1981 Halsted Press New York, NY
14. A. Gersho, and R.M. Gray Vector quantization and signal compression 1992 Kluwer Dordrecht
15. P. Floreen The convergence of the hamming memory networks IEEE Transactions on Neural Networks 2 4 1991
16. D. Grant, J. Taylor, and P. Houselander Design, implementation and evaluation of a high-speed integrated hamming neural classifier IEEE Journal of Solid-State Circuits 29 1994 1154 1157
17. S. Grossberg Nonlinear neural networks: principles, mechanisms, and architectures Neural Networks 1 1988 17 61
18. R. Hahnloser, R. Sarpeshkar, M.A. Mahoward, R.J. Douglas, and H.S. Seung Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit Nature 405 2000 947 951
19. Y. He, U. Cilingiroglu, and E.S. Sinencio A high density and low-power charge based hamming network IEEE Transaction on Very Large Scale Integration (VLSI) Systems 1 1 1993
20. A.K. Jain, and R.C. Dubes Algorithms for clustering data 1988 Prentice Hall Englewood Cliffs, NJ
21. L.G. Johnson, and M.S. Jakaleddine MOS implementation of winner-take-all network with application to content-addressable memory Electronics Letters 1991 957 958
22. Koutroumbas, K. (1995). Hamming Neural Networks, Architecture design and applications. PhD Dissertation, Greece: Department of Informatics, National and Kapodistrian University of Athens (in Greek).
23. Koutroumbas, K. (2004). Accelerating the Hamming Maxnet. Proceedings of the SETN04, Samos, Greece.
24. Koutroumbas, K. (2005). A Hamming Maxnet that determines all the maxima. Under review.
25. K. Koutroumbas, and N. Kalouptsidis Qualitative Analysis of the Parallel and asynchronous modes of the Hamming Network IEEE Transactions on Neural Networks 5 3 1994 380 391
26. Lewis, M.R., Torczon, V., Trosset, M.W. (2000). Direct search methods: Then and now. NASA/CR-2000-210125, ICASE Report No. 2000-26.
27. R.P. Lippmann An Introduction to Computing with Neural Nets IEEE ASSP Magazine 4 2 1987
28. D.G. Luenberger Introduction to linear and nonlinear programming 1984 Addison-Wesley Reading, MA
29. I. Meilijson, E. Ruppin, and M. Sipper A single-iteration threshold Hamming network IEEE Transactions on Neural Networks 6 1 1995 261 266
30. S.G. Nash, and A. Sofer Linear and nonlinear programming 1996 McGraw-Hill
31. Y.-H. Pao Adaptive pattern recognition and neural networks 1989 Addison-Wesley Reading, MA
32. M.E. Robinson, H. Yoneda, and E.S. Sinencio A modular CMOS design of a hamming network IEEE Transactions on Neural Networks 3 3 1992
33. D.E. Rumelhart, and J.L. McClelland Parallel distributed processing: Explorations in the microstructure of cognition Foundations Vol. 1 1986 MIT Press Cambridge, MA
34. A. Schmid, Y. Leblebici, and D. Mlynek Hardware realization of a Hamming neural network with on-chip learning Proceedings of the 1998 ISCAS98
35. M. Skbrek Fast neural network implementation Neural Processing World 5 1999 375 391
36. K. Steinbuch Die lernmatrix Kybernetic 1 1961 36 45
37. K. Steinbuch, and U.A.W. Piske Learning matrices and their applications IEEE Transactions on Electronic Computers 1963 846 862
38. J.P.F. Sum, and P.K.S. Tam Note on the maxnet dynamics Neural Computation 8 3 1996 491 499
39. W.K. Taylor Cortico-thalamic organization and memory Proceedings of the Royal Society of London B 159 1964 466 478
40. S. Theodoridis, and K. Koutroumbas Pattern Recognition 2nd ed 2003 Academic Press San Diego, CA
41. O. Yadid-Pecht, and M. Gur A biologically-inspired improved maxnet IEEE Transactions on Neural Networks 6 3 1995 757 759
42. J.F. Yang, C.M. Chen, W.C. Wang, and J.Y. Lee A general mean based iteration winner-take-all neural network IEEE Transactions on Neural Networks 6 1 1995 14 24
43. J.F. Yang, and C.M. Chen Winner-take-all neural networks using the highest threshold IEEE Transactions on Neural Networks 11 1 2000 194 199
44. J.C. Yen, and S. Chang Improved winner-take-all neural network Electronics Letters 1992 662 664
45. J.C. Yen, F.J. Chang, and S. Chang A new winners-take-all architecture in artificial neural networks IEEE Transactions on Neural Networks 5 5 1994 838 843