Information processing system using neural network learning function
US5295197A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Oct 11, 1991 |
| Grant date | Mar 15, 1994 |
| Priority date | — |
| Expiry date | Oct 11, 2011 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/194
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An information processing apparatus using a neural network learning function has, in one embodiment, a computer system and a pattern recognition apparatus associated with each other via a communication cable. The computer system includes a learning section having a first neural network and serves to adjust the weights of connection therein as a result of learning with a learning data signal supplied thereto from the pattern recognition apparatus via the communication cable. The pattern recognition apparatus includes an associative output section having a second neural network and receives data on the adjusted weights from the learning section via the communication cable to reconstruct the second neural network with the data on the adjusted weights. The pattern recognition apparatus with the associative output section having the reconstructed second neural network performs pattern recognition independently of the computer system with the communication cable being brought into an electrical isolation mode.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.