Neural network auto-associative memory with two rules for varyin

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G06F 1518

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050500953

ABSTRACT:
A neural network associative memory which has a single layer of primatives and which utilizes a variant of the generalized delta for calculating the connection weights between the primatives. The delta rule is characterized by its utilization of predetermined values for the primitive and an error index which compares, during iterations, the predetermined primative values with actual primative values until the delta factor becomes a predetermined minimum value.

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patent: 3950733 (1976-04-01), Cooper et al.
patent: 4326259 (1982-04-01), Cooper et al.
patent: 4660166 (1987-04-01), Hopfield
"An Introduction to Computing with Neural Nets", Apr. 1987, IEEE ASSP Magazine.
"Computing with Neural Networks", May 1987, High Technology.

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