Decision directed adaptive neural network
US5461696A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Oct 28, 1992 |
| Grant date | Oct 24, 1995 |
| Priority date | — |
| Expiry date | Oct 28, 2012 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for adapting a decision directed adaptive neural network (10). The method finds the best matches between a plurality of input data vectors (16) and an associated plurality of input portion of weight vectors. The input portion of the weight vectors are adapted. The identification codes (12) which represent the sequence of best matched weight vectors are stored in a memory (12) and the associated output portion of weight vectors (22) are output. A sequence of output portion of weight vectors (22) is matched with predetermined models (21). A sequence of labels (24) associated with the best matched model is stored which identifies the categories of match data. The labels (24) are sequentially combined with the identification codes (12) to build adaptation vectors. The adaptation vectors are then used to sequentially adapt the output portion of weight vectors (22).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.