Neural network auto-associative memory with two rules for varying the weights
US5050095A · kind A · utility
128Cited by
6References
11Claims
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Key dates
| Filing date | Jan 10, 1990 |
| Grant date | Sep 17, 1991 |
| Priority date | — |
| Expiry date | Jan 10, 2010 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.