Method and apparatus for hierarchical input classification using a neural network
US5638491A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Jan 23, 1995 |
| Grant date | Jun 10, 1997 |
| Priority date | — |
| Expiry date | Jan 23, 2015 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19173
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An input is classified into one of a plurality of possible outputs. A top-level classifier generates an approximate identification for the input as one of the possible outputs and selects two or more neural networks corresponding to the approximate identification. The selected neural networks generate two or more identifications for the input as one or more of the possible outputs. A postprocessor classifies the input as one of the possible outputs in accordance with the two or more identifications of the selected neural networks. According to an alternative embodiment, a top-level classifier selects a subset of neurons of a neural network and the subset of neurons identifies the input as one of the possible outputs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.