TY  - GEN
ID  - cogprints2469
UR  - http://cogprints.org/2469/
A1  - Balakrishnan, Karthik
A1  - Honavar, Vasant
Y1  - 1998///
N2  - 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.
KW  - Intelligent diagnosis
KW  -  expert systems
KW  -  neural networks
KW  -  case-based reasoning
KW  -  model-based systems
KW  -  decision trees
KW  -  knowledge acquisition
TI  - Intelligent Diagnosis Systems
SP  - 239
AV  - public
EP  - 290
ER  -

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