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Structure of Fuzzy Control Module with Neural Network

Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.9, No. 2)

Publication Date:

Authors : ;

Page : 649-658

Keywords : Fuzzy Set Theory; Neural Networks; Learning; Control; Fuzzification & Defuzzification;

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Abstract

The paper deals with the fuzzy control module's structure, which has the property that is deficit in "conventional" uncertain systems - the skill to learn. This is attained by offering the control module in the form of a neural-like multi-layer network. At the same time, this system is free from the main disadvantage of neural networks - the knowledge distribution. All parameters and weights retain their physical understanding, which makes it likely to examine the information gathered by the system in the process of learning.

Last modified: 2019-06-14 20:41:52