Data processing: artificial intelligence – Neural network – Learning task
Patent
1994-03-31
1999-08-24
Downs, Robert W.
Data processing: artificial intelligence
Neural network
Learning task
706 2, 706 12, 706 25, G06F 1518
Patent
active
059436620
ABSTRACT:
A method and a system for causing a neural circuit model to learn typical past control results of a process and using the neural circuit model for supporting an operation of the process. The neural circuit model is caused to learn by using, as input signals, a typical pattern of values of input variables at different points in time and, as a teacher signal, its corresponding values of the control variable. An unlearned pattern of input variables is inputted to the thus-learned neuron circuit model, whereby a corresponding value of the control variable is determined. Preferably, plural patterns at given time intervals can be simultaneously used as patterns to be learned.
REFERENCES:
patent: 3287649 (1966-11-01), Rosenblatt
patent: 4774677 (1988-09-01), Buckley
patent: 4912647 (1990-03-01), Wood
patent: 4989256 (1991-01-01), Buckley
patent: 5023045 (1991-06-01), Watanabe et al.
patent: 5092343 (1992-03-01), Spitzer et al.
patent: 5093792 (1992-03-01), Taki et al.
patent: 5109475 (1992-04-01), Kosak et al.
patent: 5129039 (1992-07-01), Hiraiwa
patent: 5131072 (1992-07-01), Yoshizawa
patent: 5195169 (1993-03-01), Kamiya et al.
patent: 5515454 (1996-05-01), Buckley
Fujitsu, Neurocomputer and its Application to Robot Control, by S. Nagata, et al., et al.1988-6, vol. 39, No. 3.
Control Engineering, Feb. 1975, New York, U.S., pp. 50-53, Can a process "Train" its control system? by S.J. Bailey.
Biological Cybernetics, "A hierarchical Neural-Network Model for Control and Learning of Voluntary Movement", M. Kawato, et al., vol. 57, No. 3, Oct. 1987.
Advances in Instrumentation, "Applications of Artificial Neural Systems in Robotic Welding", by B.A. Cleveland, vol. 43, No. Part 04, Jan. 1, 1988.
"Suidokyokai Zasshi (Journal of Water Service Workers' Association)", No. 431, p. 28, Aug. 1970.
Parallel Disributed Processing; "Learning Internal Representations by Error Propagation" Vol. 1: Foundations, The MIT Press 1986 by David E. Rumelhart, James L. McClelland and the PDP Research Group.
Learning Internal Representations in the Coulomb Energy Network, Scofield, Jul. 1988, pp. 271-276.
"A Class of Gradient-Estimating Algorithms for Reinforcement Learning in Neural Networks"IEEE 1st International Conference on Neural Networks by Ronald J. Williams, Jun. 1987.
"A Learning Algorithm for Analog Full Recurrent Neural Networks" by Michael Gherrity, Jun. 18, 1980.
"Training Time-Dependence in Neural Networks", IEEE 1st International Conference on Neural Networks by Richard Rohwer, Jun. 1987.
"Neural Networks Primer" AI Expert, Feb. 1989.
"Layered Neural Nets for Pattern Recognition" by Widrow, et al., Speech and Signal Processing, vol. 36, No. 7, Jul. 1988.
Phoneme Recognition: Neural Networks vs. Hidden Markov Models, IEEE ICASSP Conference by Waibel, et al., 1988.
"Neural Network Model using a normalized inner product as measure of similarity", IEEE ICNN by Macukow, et al., 1988.
"Applications of counterpropagation Networks", Neural Networks, Vol. 1, pp. 131-139 by Robert Hecht-Nielsen, 1988.
"The implementation of Multi-Layer perceptrons on Transputer Networks", PPTBM, Proceedings of the 7th OCCAM User, 1987.
"Neural Networks, Part 2:" IEEE Expert, 1988.
Wasserman etal ,"Neural Networks, Part 2:" 1988 IEEE Expert.
Williams et al,"A Class of Gradient-Estimating Algorithms for Reinforcement Learning in Neural Networks" IEEE Ist Inter. Conf. on Neural Networks, Jun. 1987.
Gherrity et al,"A Learning Algorithm for Analog, Fully Recurrent Neural Networks"Jun. 18, 1998O.
Rohwer et al,"Training Time-Dependence in Neural Networks" IEEE first Inter. Conf. on Neural Networks, Jun. 1987.
"Neural Networks Primer" AI Expert, Feb. 1989.
"Learning Internal Representations in the Coulomb Energy Network", Scofield, Jul. 1988, pp. 271-276.
Baba Kenji
Enbutsu Ichiro
Hara Naoki
Maruhashi Fumio
Matsumoto Hiroshi
Downs Robert W.
Hitachi , Ltd.
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