Rule-based training of neural networks

Expert Systems With Applications

Volumn 2, Issue 1, 1991, Pages 47-58

  Kwasny, Stan C ^a   Faisal, Kanaan A ^b  

^a WASHINGTON UNIVERSITY   (United States)

^b KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; KNOWLEDGE ENGINEERING; NATURAL LANGUAGE PROCESSING SYSTEMS;

ADAPTIVE NEURAL NETWORKS; COMPLEX DOMAINS; COMPLEX PROBLEMS; DETERMINISTICS; ENGINEERING TOOLS; NATURAL LANGUAGES; NEURAL-NETWORKS; RULE BASED; RULE-BASED EXPERT SYSTEM; SYSTEM BUILDING;

EXPERT SYSTEMS;

EID: 0012060262     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/0957-4174(91)90133-Y     Document Type: Article

References (25)

1. Expert systems for configuration at digital: XCON and beyond
2. A parser with something for everyone
3. Teiresias: Applications of meta-level knowledge
4. CDP: Connectionist deterministic parser. a dissertation proposal
5. Deductive and inductive learning in a connectionist deterministic parser
6. Context-free parsing in connectionist networks
7. Connectionist expert systems
8. Coupling symbolic and numeric computing in knowledge-based systems
9. Connectionism and determinism in a rule-based natural language system
10. Competition and learning in a connectionist deterministic parser
11. Unifying several natural language systems in a connectionist deterministic parser
12. Relaxation techniques for parsing ill-formed input
13. Resolving lexical ambiguity in a deterministic parser
14. Learning internal representations by error propagation
15. A rule-based connectionist parsing system
16. A knowledge engineering approach to natural language understanding
17. Massively parallel parsing: A strongly interactive model of natural language interpretation
18. Meta-rules as a basis for processing ill-formed input
19. Beyond regression: New tools for prediction and analysis in behavioral science