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Title:
NEURAL NETWORK
Document Type and Number:
Japanese Patent JPH096881
Kind Code:
A
Abstract:

PURPOSE: To obtain recognition capability which is high in learning, recognition, and estimation by applying genetic algorithm of information processing to a structured setting method for input layer unit of pattern recognition and estimation.

CONSTITUTION: When various set value such as a learning pattern and a tutor pattern are inputted to an input device 5, the respective patterns are stored in a working memory 2 through an input control part 3. The respective input values are inputted to the neural network 1, where a coupling coefficient is updated by performing learning on the basis of the learning pattern, tutor pattern, and various set values in the work memory 2 through a genetic algorithm control part 7 and a genetic group 8. The coupling coefficient is stored in the neural network 1 and the learning is outputted to and displayed on a device 6 through an output control part 4. When an input pattern is inputted, it is stored in the working memory 2 as mentioned above, the neutral network 1 performs recognition or value estimation, and the result is outputted to and displayed on the device 6.


Inventors:
OGAWA TOSHIYUKI
Application Number:
JP17288995A
Publication Date:
January 10, 1997
Filing Date:
June 15, 1995
Export Citation:
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Assignee:
TOYO ELECTRIC MFG CO LTD
International Classes:
G06G7/60; G06F15/18; G06N3/00; G06N3/08; (IPC1-7): G06G7/60; G06F15/18