Method and apparatus for character preprocessing which translates textual description into numeric form for input to a neural network
US5680627A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Feb 15, 1991 |
| Grant date | Oct 21, 1997 |
| Priority date | — |
| Expiry date | Feb 15, 2011 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A preprocessor translates problem descriptions in text format to a numeric form, usable by a neural network. Problem descriptions and associated solutions are used as training sets for the neural network. From a word domain collected from a number of problem descriptions, each character used in the problem domain is assigned a character frequency value. These frequency values are used to translate each problem description to an input vector, where each input value represents a character and each input value is associated with an input node of the neural network. In addition to being associated with a frequency value, each character is scaled and normalized to improve accuracy of the neural network's recall capabilities.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.