Survey on Neuro-Fuzzy Systems and their Applications in Technical Diagnostics

Zs. J. Viharos, K. B. Kis

Abstract

Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computational model for classification and estimation, have been used in many application fields since their birth. These two techniques are somewhat supplementary to each other in a way that what one is lacking of the other can provide. This led to the creation of Neuro-Fuzzy systems which utilize fuzzy logic to construct a complex model by extending the capabilities of Artificial Neural Networks. Generally speaking all type of systems that integrate these two techniques can be called Neuro-Fuzzy systems. Key feature of these systems is that they use input-output patterns to adjust the fuzzy sets and rules inside the model. The paper reviews the principles of a Neuro-Fuzzy system and the key methods presented in this field, furthermore provides survey on their application for technical diagnostics.

Keywords

technical diagnostics, neurofuzzy systems, overview

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IMEKO-TC10-2014-015.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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