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Optimization of fuzzy expert systems using genetic algorithms and neural networks

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4 Author(s)
Perneel, C. ; Signal & Image Center, R. Mil. Acad., Brussels, Belgium ; Themlin, J.-M. ; Renders, J.-M. ; Acheroy, M.

In this paper, fuzzy logic theory is used to build a specific decision-making system for heuristic search algorithms. Such algorithms are typically used for expert systems. To improve the performance of the overall system, a set of important parameters of the decision-making system is identified. Two optimization methods for the learning of the optimum parameters, namely genetic algorithms and gradient-descent techniques based on a neural network formulation of the problem, are used to obtain an improvement of the performance. The decision-making system and both optimization methods are tested on a target recognition system

Published in:

Fuzzy Systems, IEEE Transactions on  (Volume:3 ,  Issue: 3 )

Date of Publication:

Aug 1995

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