Intelligent Diagnosis Systems

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

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





Contact site administrator at: ssg@cs.iastate.edu