High order information processing method by means of a neural network and minimum and maximum searching method therefor
First Claim
1. A high order information processing method, as performed by a neural network, comprising the steps of:
- performing at least one or a combination of a plurality of various information processings including a feature extracting processing, a feature unifying processing, a memory processing, a recognizing processing, and a control information generating processing by arranging an internal structure of said neural network based on physiological knowledge information of a living body;
arranging said internal structure of said neural network according to an intended information processing based on said physiological knowledge information; and
effecting parallel concurrent and competitive actions of a group of neural elements constituting said neural network internally arranged by said arranging step.
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Abstract
In order to improve the problematical points concerning the structure and the processing speed of a prior art neural network, the optimum structure of the neural network, in which a synapse structure constructed on the basis of living body physiological knowledge or presumed therefrom is determined to make it possible to realize high level information processing functions such as feature extraction, feature unification, memory, etc. Applications to an image recognition, a movement control, etc. making the most of the robust recognizing power thereof, or application to an optimum problem, a large scale numerical analysis, etc. making the most of the parallel processing power thereof are made possible.
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17 Claims
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1. A high order information processing method, as performed by a neural network, comprising the steps of:
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performing at least one or a combination of a plurality of various information processings including a feature extracting processing, a feature unifying processing, a memory processing, a recognizing processing, and a control information generating processing by arranging an internal structure of said neural network based on physiological knowledge information of a living body; arranging said internal structure of said neural network according to an intended information processing based on said physiological knowledge information; and effecting parallel concurrent and competitive actions of a group of neural elements constituting said neural network internally arranged by said arranging step. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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Specification