Neural network for performing beta-token partitioning in a RETE network
US5129037A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 1989 |
| Grant date | Jul 7, 1992 |
| Priority date | — |
| Expiry date | Jun 20, 2009 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for beta-token partitioning a target expert system program. The target expert system program is first compiled to form a RETE network for execution on a single processor, the compilation including directives for collecting selected processing statistics. The target expert system program is then executed on a single processor, generating during execution processing statistics in connection with each node of the RETE network. The processing statistics are then applied to a programmed neural network to identify nodes in the RETE network for beta-token partitioning, and the target expert system program is then recompiled to form a RETE network for execution on multiple processors, the RETE network being beta-token partitioned at nodes identified by the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.