Neuron unit

Details Neuron unit Neuron unit

1992-12-11

1994-07-05

MacDonald, Allen R.

Electrical transmission or interconnection systems

Nonlinear reactor systems

Parametrons

307201, G06F 1518

Patent

active

053275225

ABSTRACT:
A neuron unit processes a plurality of input signals and for outputs an output signal which is indicative of a result of the processing, and includes input lines for receiving the input signals, a forward process part including a supplying part for supplying weight functions and an operation part for carrying out an operation on each of the input signals using one of the weight functions and for outputting the output signal, and a self-learning part including a function generating part for generating new weight functions based on errors between the output signal of the forward process part and teaching signals and a varying part for varying the weight functions supplied by the supplying part of the forward process part to the new weight functions generated by the generating part. The supplying part includes a memory for storing each weight function in the form of a binary value, and a generating circuit for generating a random pulse train based on each binary value stored in the memory. The random pulse train describes each weight function in the form of a pulse signal having a pulse density.

REFERENCES:
patent: 4893255 (1990-01-01), Tomlinson, Jr.
patent: 4951243 (1990-08-01), Tomlinson, Jr.
Ito, T., et al., "A Neural Network Model Extracting Features From Speech Signals", Electronic Information Communication Society Papers, 87/2, vol. J70-D, No. 2.
Murray et al., "Asynchronous Arithmetic for VLSI Neural Systems", Electronic Letters, Jun. 4, 1987, vol. 23, No. 12.
Murray et al., "A Novel Computation and Signalling Method for VLSI Neural Networks", Digest of Technical Papers, ESSCIRC '87, Thirteenth European Solid-State Circuits Conference, Sep. 23-25, 1987.
Kamada et al., "Digital Neuron Model", Electronic Information Communication Society Spring National Conference, 1988.
Yoshida et al., "Neural Coupling Model of Visual Domain", Electronic Communication Society National Conference, 1974.
K. Fukushima, "Cognitron", Electronic Communication Society National Conference, 1974.
K. Fukushima, "Improvement in Pattern-Selectivity of a Cognitron", Electronic Communication Society Papers '79/10, vol. J62-A, No. 10.
W. Banzhaf, "On a Simple Stochastic Neuron-like Unit", Biological Cybernetics, vol. 60, No. 2, 1988, pp. 153-160.

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