Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference

Sung‐Kwun Oh; Byoung‐Jun Park; Witold Pedrycz

doi:10.1007/11759966_115

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Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference

Sung‐Kwun Oh Byoung‐Jun Park Witold Pedrycz

Year: 2006 Lecture notes in computer science Pages: 786-791 Publisher: Springer Science+Business Media

DOI: 10.1007/11759966_115

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Keywords:

Neuro-fuzzy Computer science Fuzzy logic Adaptive neuro fuzzy inference system Artificial neural network Defuzzification Polynomial Fuzzy set operations Mathematical optimization Fuzzy number Fuzzy control system Artificial intelligence Mathematics Fuzzy set

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Fuzzy Logic and Control Systems

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference

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