Resolution of binary coding of real-valued vectors by hyperrectangular receiptive fields

Cybernetics and Systems Analysis

Volumn 41, Issue 5, 2005, Pages 635-646

  Rachkovsky, D A ^a   Slipchenko, S V ^a   Frolov, A A ^b   Gusek, D ^c  

^a International Scientific Educational Center of Information Technologies and Systems   (Ukraine)

^b INSTITUTE OF HIGHER NERVOUS ACTIVITY AND NEUROPHYSIOLOGY   (Russian Federation)

^c INSTITUTE OF MATHEMATICS   (Czech Republic)

Author keywords

CMAC scheme; Coarse coding; Distributed coding; Hyperrectangle; Neural network; Prager scheme; Receiptive field; RSC scheme

Indexed keywords

BINARY CODES; DATA PROCESSING; ENCODING (SYMBOLS); ESTIMATION; NEURAL NETWORKS; VECTORS;

BINARY CODING; CMAC SCHEME; COARSE CODING; CODING SCHEMES; DISTRIBUTED CODING; HYPERRECTANGULAR RECEPTIVE FIELDS; PRAGER SCHEME; REAL-VALUED VECTORS; RSC SCHEME;

CYBERNETICS;

EID: 31544434274     PISSN: 10600396     EISSN: 15738337     Source Type: Journal    
DOI: 10.1007/s10559-006-0001-y     Document Type: Article

References (24)

1. M. Arbib 2003 The Handbook of Brain Theory and Neural Networks MIT Press Cambridge, MA
2. J. S. Albus, "Data storage in the cerebellar model articulation Controller (CMAC)," Journal of Dynamic Systems, Measurement and Control, Trans. ASME, 33, No.3, 228-233 (1975).
3. T. W. Miller, F. H. Glanz, and L. G. Kraft, "CMAC: An associative neural network alternative to backpropagation," Proc. IEEE, 78, 1561-1567 (1990). 10.1109/5.58338
4. R. W. Prager, T. D. Harrison, and F. Fallside, "Boltzman machines for speech recognition," Computer Speech and Language, 1, 3-27 (1986).
5. R. W. Prager and F. Fallside, "The modified Kanerva model for automatic speech recognition," Computer Speech and Language, 3, 61-81 (1989). 10.1016/0885-2308(89)90015-6
6. T. J. W. Clarke, R. W. Prager, and F. Fallside, "The modified Kanerva model: Theory and results for real-time word recognition," Proc. IEEE, 138, 25-31 (1991).
7. R. Prager, "Networks based on Kanerva's sparse distributed memory: Results showing their strengths and limitations and a new algorithm to design the location matching layer," in: IEEE Intern. Conf. on Neural Networks, San Francisko (1993), pp. 1040-1045.
8. E. Kussul T. Baidyk V. Lukovich D. Rachkovskij 1994 "Adaptive high performance classifier based on random threshold neurons" Twelfth European Meeting on Cybernetics and Systems Research World Sci. Publ. Co. Vienna, Austria 1687-1694
9. E. M. Kussul, T. N. Baidyk, V. V. Lukovich, and D. A. Rachkovskii, "Neural classifiers with distributed coding of input information," Neurocomputer, Nos. 3-4, 13-24 (1994).
10. V. V. Lukovich and D. A. Rachkovskii, "Investigation of characteristics of a neural network classifier with random thresholds," Neural Network Technologies and Computers, 27-36 (1994).
11. E. M. Kussul D. A. Rachkovskij D. Wunsch 1999 "The random subspace coarse coding scheme for real-valued vectors" Intern. Joint Conf. on Neural Networks IEEE Trans. Washington, DC 450-455
12. V. V. Lukovich, "Transformation of data at the input of a neural network classifier with random thresholds," Neural Network Systems of Information Processing, 12-19 (1996).
13. D. V. Zhora, "Analysis of a classifier with random thresholds," Kibern. Sist. Anal., No. 3, 72-91 (2003).
14. D. A. Rachkovskii, S. V. Slipchenko, E. M. Kussul, and T. N. Baidyk, "Properties of number codes for the scheme of random subspaces RSC," Kibern. Sist. Anal., No. 4, 39-52 (2005).
15. S. V. Slipchenko, I. S. Misuno, and D. A. Rachkovskii, "Properties of coding of numerical quantities by random hyperrectangular receiptive fields," Mathematical Machines and Systems, No. 4, 53-67 (2005).
16. P. Kanerva 1988 Sparse Distributed Memory MIT Press Cambridge, MA
17. J. A. Feldman and D. H. Ballard, "Connectionist models and their properties," Cognitive Sci., 6, No.3, 205-254 (1982).
18. D. Cornforth, "Evolution in the orange box - a new approach to the sphere-packing problem in CMAC-based neural networks," Lect. Notes in Comp. Sci., 2257, 333-343 (2002). 2051161
19. G. Horvath, "CMAC: Reconsidering an old neural network," Intelligent Control Systems and Signal Processing, 173-178 (2003).
20. D. V. Zhora, "Principles of construction of a program agent for securities business," Probl. Progr., No. 2, 534-545 (2004).
21. D. V. Zhora, "Financial forecasting using random subspace classifier," in: Int. Joint Conf. Neural Networks, 4 (2004), pp. 2735-2740.
22. N. N. Kussul and M. E. Kussul, "Enhanced algorithm of nearest neighbor method and its application in genetic programming," in: Intern. Mendel Conf. "MENDEL'98," Brno, Czech Republic (1998), pp. 52-53.
23. M. E. Kussul and N. N. Kussul, "Accelerated algorithm of realization of the nearest neighbor method," Visn. Skhidnoukr. Nats. Univ., 30, No.8, 72-80 (2000).
24. P. C. Parks J. Militzer 1991 "Improved allocation of weights for associative memory storage in learning control systems" 1st IFAC Symp. on Design Methods for Control Systems Pergamon Press Zurich 777-782