Abstract

We investigate methods for tuning numeric parameters in Nynex MAX, a telephone trouble screening expert system. Steepest descent, hillclimbing, and simulated annealing parameter adjustment strategies are applied to the problems of maximizing classification accuracy and minimizing misclassification cost. For both of those optimization problems we evaluate each algorithm''s ability to tune initial parameters for several situations

Meeting Name

6th International Conference on Tools with Artificial Intelligence, 1994

Department(s)

Computer Science

Keywords and Phrases

MAX Expert System; Nynex MAX; Steepest Descent; Classification Accuracy; Diagnostic Expert Systems; Hillclimbing; Initial Parameters; Misclassification Cost; Numeric Parameters; Optimization Problems; Parameter Tuning; Simulated Annealing; Simulated Annealing Parameter Adjustment Strategies; Telecommunication Computing; Telephone Trouble Screening Expert System; Telephony

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1994 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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