System and method for determining class discrimination features
US5734797A · kind A · utility
7Cited by
3References
6Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Aug 23, 1996 |
| Grant date | Mar 31, 1998 |
| Priority date | — |
| Expiry date | Aug 23, 2016 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/211
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for generating a minimal artificial neural network (ANN) architecture having as inputs the minimal number of features necessary to discriminate between event classes. A network generator generates an initial ANN architecture. A training processor generates a trained ANN by training the initial ANN to a desired degree of accuracy. A pruning processor prunes the trained ANN by removing interconnections and nodes from the trained ANN. The training processor and pruning processor continue to train and prune the ANN until a minimal network architecture having the class discrimination features as its only inputs is obtained.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.