Intelligent Diagnosis Systems

Balakrishnan, Karthik and Honavar, Vasant (1998) Intelligent Diagnosis Systems. [Journal (Paginated)]

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This paper examines and compares several different approaches to design of intelligent systems for diagnosis applications. These include expert systems (or knowledge based systems), truth (or reason) maintenance systems, case based reasoning systems, and inductive approaches like decision trees, neural networks (or connectionist systems), and statistical pattern classification systems. Each of these approaches is demonstrated through the design of a system for a simple automobile fault diagnosis task. The paper also discusses the domain characteristics that influence the choice of a specific technique (or combination of techniques) for a given application.

Item Type:Journal (Paginated)
Keywords:Intelligent diagnosis, expert systems, neural networks, case-based reasoning, model-based systems, decision trees, knowledge acquisition
Subjects:Computer Science > Machine Learning
Computer Science > Neural Nets
Computer Science > Artificial Intelligence
ID Code:2469
Deposited By: Honavar, Prof. Vasant G
Deposited On:21 Sep 2002
Last Modified:11 Mar 2011 08:55


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