System, for learning an external evaluation standard
First Claim
1. A system for learning an external learning standard, said system having an internal evaluation standard and a function for evaluating a correspondence between external information and external output, produced from processing the external information according to input information of the internal evaluation standard, and for learning an evaluation standard of an external evaluation by using the external output and the internal evaluation standard, said system comprising:
- neural network processing means for processing an input pattern based on a desired pattern as input information of the internal evaluation standard, independently of the external evaluation and providing an output pattern;
input/output pattern corresponding means for comparing the input pattern with the output pattern, and for outputting a corresponding relation as an input/output pattern;
evaluation means for judging whether the input/output pattern is correct by using a reinforcement signal as the external evaluation supplied from outside the system and the input/output pattern from the input/output pattern corresponding means, and for outputting the judged input/output pattern when an evaluation result of the judging is correct; and
desired pattern table means for storing the judged input/output pattern whose evaluation result outputted from said evaluation means is correct, and for outputting the judged input/output pattern as an evaluation desired pattern at a learning time of said neural network processing means.
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Abstract
This invention pertains to neural network system for learning an external evaluation standard and for learning the evaluation from the outside for the processing result, in a system capable of internal evaluation of the correspondence between external information and the processing result of its own system for the input information. It purports to learn the external evaluation as the internal evaluation standard of the internal evaluation time. The learning system comprises an internal evaluation unit for evaluating an evaluation input pattern including input information at a first point in time and input information inputted at a point in time for the processing result of its own system for the input information according to the internal evaluation standard at a system execution time; and an evaluation desired pattern memory unit for making the external evaluation correspond with the evaluation input pattern and for memorizing it as an evaluation desired pattern for having the internal evaluation unit learn the external evaluation standard. The system is configured to have an internal evaluation unit to learn the evaluation desired pattern at a learning time of the system. This system is applicable in a robot control system.
17 Citations
12 Claims
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1. A system for learning an external learning standard, said system having an internal evaluation standard and a function for evaluating a correspondence between external information and external output, produced from processing the external information according to input information of the internal evaluation standard, and for learning an evaluation standard of an external evaluation by using the external output and the internal evaluation standard, said system comprising:
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neural network processing means for processing an input pattern based on a desired pattern as input information of the internal evaluation standard, independently of the external evaluation and providing an output pattern; input/output pattern corresponding means for comparing the input pattern with the output pattern, and for outputting a corresponding relation as an input/output pattern; evaluation means for judging whether the input/output pattern is correct by using a reinforcement signal as the external evaluation supplied from outside the system and the input/output pattern from the input/output pattern corresponding means, and for outputting the judged input/output pattern when an evaluation result of the judging is correct; and desired pattern table means for storing the judged input/output pattern whose evaluation result outputted from said evaluation means is correct, and for outputting the judged input/output pattern as an evaluation desired pattern at a learning time of said neural network processing means. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification