Neural networks and structured knowledge: knowledge representation and reasoning
Document Type
Article
Publication Date
7-1-1999
Abstract
This collection of articles is the first of two parts of a special issue on 'Neural Networks and Structured Knowledge'. The contributions to the first part shed some light on the issues of knowledge representation and reasoning with neural networks. Their scope ranges from formal models for mapping discrete structures like graphs or logical formulae onto different types of neural networks, to the construction of practical systems for various types of reasoning. In the second part to follow, the emphasis will be on the extraction of knowledge from neural networks, and on applications of neural networks and structured knowledge to practical tasks.
Identifier
0033165390 (Scopus)
Publication Title
Applied Intelligence
External Full Text Location
https://doi.org/10.1023/A:1008327412259
ISSN
0924669X
First Page
5
Last Page
13
Issue
1
Volume
11
Fund Ref
Bundesministerium für Forschung und Technologie
Recommended Citation
Kurfess, Franz J., "Neural networks and structured knowledge: knowledge representation and reasoning" (1999). Faculty Publications. 15956.
https://digitalcommons.njit.edu/fac_pubs/15956
