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Recognising patterns in electromechanical systems

delete1997-11-01
delete2
PRE
AI
P
P.J. Costa Branco
M
Martins, JF
A
A. J. Pires
J
J.A. Dente
DOI：10.1016/S0167-8655(97)00136-0delete
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Abstract

Abstract

En 中文
Pattern recognition using fuzzy logic and neural network techniques is usually related with image and speech processing. In a different approach, this paper shows results concerning the use of these techniques to extract models of electromechanical system's. This approach is important because such systems always contain internal non-linear relations that are difficult to model and, in most cases, there are unknown internal phenomena dominating their dynamics. So, these techniques enable to recognise system patterns and to include them in a more complete system's model. (C) 1997 Elsevier Science B.V.
Keywords:
fuzzy modelling
neural modelling
pattern recognition
systems modelling
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Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.9K
Citations:
1.6W

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No organization information available