Kabushiki Kaisha Toshiba

Eric Chang

Masatoshi Sekine

A heuristic control system and method for use with a computer-aided design, capable of learning complicated control and achieving an optimizing task with a fewer number of iteration. The heuristic control system includes: rule-based system for choosing and evaluating a rule among a plurality of given rules; training system for choosing strongly a rule whose evaluation result is favorable based on a predetermined value which evaluates an evaluation result of the rule-based system, and for generating a learning pattern; and neural network for designing an optimized circuit based on a signal fed from the training system and for sending a resultant signal to the rule-based system for another iteration of heuristic control. The learning method includes the steps of: choosing and evaluating a rule among a plurality of given rules; choosing strongly a rule whose evaluation result is favorable based on a predetermined value; generating a learning pattern which brings a desirable result based on the evaluating step; designing an optimized circuit based on the learning pattern generated; and choosing and evaluating iteratively a rule among a plurality of given rules.

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Beverly Hills, CA, United States of America

Eric Chang