A web-based intelligent fault diagnosis system for customer service support-Reference-Cited by-同舟云学术

A web-based intelligent fault diagnosis system for customer service support

Published:2001-08 Issue:4 Volume:14 Page:537-548
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Hui S.C.,Fong A.C.M.,Jha G.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference22 articles.

1. Case-based reasoning;Aamodt;Proceedings of AICom—Artificial Intelligence Communications,1994

2. Balakrishnan, K., Honavar, V., 1998. Intelligent diagnosis systems. Journal of Intelligent Systems, 8(3/4) 239–290. Also available at \{http://www.cs.iastate.edu/∼honavar/publist.html\}.

3. Beckwith, R., Miller, G.A., Tengi, R., 1993. Design and implementation of the WordNet lexical database and searching software. Cognitive Science Laboratory, Princeton University.

4. Classification and Regression Trees;Breiman,1984

5. Fundamentals of neural networks;Fausett,1994

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