Digital neural network with discrete point rule space
US5058034A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Oct 3, 1989 |
| Grant date | Oct 15, 1991 |
| Priority date | — |
| Expiry date | Oct 3, 2009 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This application discloses a system that optimizes a neural network by generating all of the discrete weights for a given neural node by creating a normalized weight vector for each possible weight combination. The normalized vectors for each node define the weight space for that node. This complete set of weight vectors for each node is searched using a direct search method during the learning phase to optimize the network. The search evaluates a node cost function to determine a base point from which a pattern more within the weight space is made. Around the pattern mode point exploratory moves are made which are cost function evaluated. The pattern move is performed by eliminating from the search vectors with lower commonality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.