A neural approach to knowledge base systems
- 1 October 1992
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
An implementation for Knowledge Base systems using an Object Oriented data structure and a Neural type inference motor. Advantages are : Knowledge structuration, speed, compatibility with parallel computing, dynamic evolution of the knowledge base.Keywords
This publication has 3 references indexed in Scilit:
- Exploiting the Inherent Parallelism of Artificial Neural Networks to Achieve 1300 Million Interconnects per SecondPublished by Springer Nature ,1990
- ON THE EPISTEMOLOGICAL STATUS OF SEMANTIC NETWORKS**Prepared in part at Bolt Beranek and Newman Inc. under contracts sponsored by the Defense Advance Research Projects Agency and the Office of Naval Research. The views and conclusions stated are those of the author and should not be interpreted as necessarily representing the official policies, either express or implied, of the Defense Advanced Research Projects Agency or the U.S. Government.Published by Elsevier ,1979
- Distinctive features, categorical perception, and probability learning: Some applications of a neural model.Psychological Review, 1977