Neural network

Boots – shoes – and leggings

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G06F 1518

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active

050439138

ABSTRACT:
Input signals inputted in respective unit circuits forming a synapse array pass through variable connector elements to be integrated into one analog signal, which in turn is converted into a binary associated corresponding signal by an amplifier. Two control signals are produced on the basis of the associated corresponding signal and an educator signal. The two control signals are fed back to the respective unit circuits, to control degrees of electrical coupling of the variable connector elements in the respective unit circuits. Thus, learning of the respective unit circuits is performed.

REFERENCES:
An Introduction to Computing with Neural Nets; Richard P. Lippmann; IEEE ASSP Magazine; Apr. 1987; pp. 4-22.
A Neural Network for Visual Pattern Recognition; K. Fukushima; Computer; Mar.1988; pp. 65-75.
"Simple `Neural` Optimization Networks: An A/D Converter, Signal Decision Circuit, and a Linear Programming Circuit" by Tank and Hopfield, IEEE Transactions on Circuits and Systems, vol. CAS-33, No. 5, May 1986.
"A CMOS Associative Memory Chip Based on Neural Networks", by Graf and de Vegvar, 1987 IEEE International Solid-State Circuits Conference, 2/27/87.

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