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Balakrishnan, Karthik and Honavar, Vasant (1996) Intelligent Diagnosis Systems. Technical Report TR95-22a, Department of Computer Science, Iowa State University.

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Abstract

This paper examines and compares several different approaches
to the 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,
artificial 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
and design and performance requirements that influence
the choice of a specific technique (or a combination of techniques) for
a given application.

Subjects:All uncategorized technical reports
ID code:00000120
Deposited by:Staff Account on 16 December 1996



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