NEURAL NETWORKS CONTAINING VARIABLE RESISTORS AS SYNAPSES

Patent №

US 5,422,982

Granted

1995-06-06

Filed 1993

Owner

DOW CORNING CORPORATION

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08002355

A synthetic neural network having a plurality of neuronal elements arranged in an input layer, an output layer, and a hidden layer between the input layer and the output layer. The network has a first plurality of synaptic weighting elements interconnecting the neuronal elements of the input layer with the neuronal elements of the hidden layer, and a second plurality of synaptic weighting elements interconnecting the neuronal elements of the hidden layer with the neuronal elements of the output layer. The improvement involves the synaptic weighting elements in the synthetic neural network being in the form of a silicon dioxide film derived from a hydrogen silsesquioxane resin. Such a silicon dioxide film is characterized by a jV curve which includes both linear and non-linear regions.

Machine learningAI hardwareG06N 3/063H10B 63/82H10N 70/021H10N 70/20H10N 70/826H10N 70/883

AI classification

Machine learning1.00
AI hardware1.00
Vision0.01
Natural language0.00
Planning0.00
Knowledge representation0.00
Speech0.00
Evolutionary computation0.00

Ownership

DOW CORNING CORPORATION

assignment · 64050097

Assignors

PERNISZ, UDO C.

On an employer assignment, the assignors are typically the inventors.

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