Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation

Sung‐Kwun Oh; Keonjun Park; Hyung-Soo Hwang

doi:10.1007/11427391_66

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Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation

Sung‐Kwun Oh Keonjun Park Hyung-Soo Hwang

Year: 2005 Lecture notes in computer science Pages: 416-421 Publisher: Springer Science+Business Media

DOI: 10.1007/11427391_66

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Keywords:

Adaptive neuro fuzzy inference system Computer science Genetic algorithm Fuzzy logic Identification (biology) Data mining Granulation Neuro-fuzzy Fuzzy classification Cluster analysis Artificial intelligence Premise Fuzzy control system Fuzzy set operations Mathematical optimization Machine learning Mathematics Engineering

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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

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation

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