Neural network auto-associative memory with two rules for varying the weights
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United States of America Patent
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Sep 17, 1991
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N/A
app pub date -
Jan 10, 1990
filing date -
May 31, 1988
priority date (Note) -
Expired
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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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