Neural network model in pattern recognition using probabilistic contextual information
US4876731A · kind A · utility
81Cited by
10References
32Claims
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Key dates
| Filing date | Feb 19, 1988 |
| Grant date | Oct 24, 1989 |
| Priority date | — |
| Expiry date | Feb 19, 2008 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/042
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A pattern recognition system for recognizing an unknown pattern comprised of symbols which are part of a pattern system which is devoid of inherent context such as numbers. Artificial contextual information based on other than symbol features and the pattern system and in the form of probability weighted expected interpretations are stored and used in the processing phase of recognition. In the system disclosed, the system comprises a neural network whose forward and feedback paths are controlled by the output cells of the network based, in part, on the contextual information.
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