Patent
1996-01-02
1998-12-01
Davis, George B.
395 23, 395 22, G06F 1518, G06K 900
Patent
active
058450521
ABSTRACT:
A method 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.
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Baba Kenji
Enbutsu Ichiro
Hara Naoki
Maruhashi Fumio
Matsumoto Hiroshi
Davis George B.
Hitachi , Ltd.
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