Neural network learning system

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395 11, 395 22, 395900, G06F 1518

Patent

active

055241786

ABSTRACT:
A neural network learning system is applied to extensive use in applications such as pattern and character recognizing operations, various controls, etc. The neural network learning system operates on, for example, a plurality of neural networks each having a different number of intermediate layer units to efficiently perform a learning process at a high speed with a reduced amount of hardware. A neural network system having a plurality of hierarchical neural networks each having an input layer, one or more intermediate layers and output layers is formed from a common input layer shared among two or more neural networks, or the common input layer and one or more intermediate layers and a learning controller for controlling a learning process performed by a plurality of neural networks.

REFERENCES:
patent: 5179596 (1993-01-01), Weingard
patent: 5295227 (1994-03-01), Yokono
patent: 5311601 (1994-05-01), Carpenter et al.
Nagata et al, "Mobile robot control by a structured hierarchical neural nwetwork"; IEEE Control Systems Magazine, Apr. 1990, pp. 69-76.

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