Numeric encoding method and apparatus for neural networks
US4972187A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Jun 27, 1989 |
| Grant date | Nov 20, 1990 |
| Priority date | — |
| Expiry date | Jun 27, 2009 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A numeric encoding method and apparatus for neural networks, encodes numeric input data into a form applicable to an input of a neural network by partitioning a binary input into N-bit input segments, each of which is replaced with a code having M adjacent logic ones and 2.sup.N -1 logic zeros, the bit position of the least significant of the M logic ones corresponding to the binary value of the input segment it replaces. The codes are concatenated to form an encoded input. A decoding method decodes an output from the neural network into a binary form by partitioning the output into output segments having 2.sup.N +M-1 bits each, each of which is replaced with an N-bit binary segment being a bracketed weighted average of the significances of logic ones present in the output segment. The binary segments are concatenated to form a decoded output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.