A Compensatory Fuzzy Neural Network Modeling Method Based on Particle Swarm Clustering

Chun Tao Man; Tian Feng Wang; Xiao Bo Sun; Xin Xin Yang; Jia Cui

doi:10.4028/www.scientific.net/AMM.48-49.5

Paper Titles

Preface

A Practical Approach to Detection and Analysis of Time-Varying Waveform
p.1

A Compensatory Fuzzy Neural Network Modeling Method Based on Particle Swarm Clustering
p.5

A Comprehensive Mechatronic Modeling and Simulation of Electric Power Steering System
p.9

A Design Method of LS-SVM Based Stable Adaptive Controller for a Class of Nonlinear Systems
p.17

A Fast Template Matching Algorithm Based on Wavelet Coefficient Projection Transform
p.21

A Kind of New Immune Genetic Algorithm and its Application
p.25

A Markov Model for the IEEE 802.11 DCF under Limit Load
p.29

A Method of Combined Evaluation Based on Two-Dimensional Density Weighted Operator
p.34

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 48-49A Compensatory Fuzzy Neural Network Modeling...

A Compensatory Fuzzy Neural Network Modeling Method Based on Particle Swarm Clustering

Abstract:

According to modeling problem for complex systems, a compensatory fuzzy neural network (CFNN) modeling method based on particle swarm clustering is proposed: the particle swarm clustering is used to automatically separate the space of input-output data, obtain the numbers of inference rules of fuzzy model and find fuzzy rules. Based on the rules, we modified fuzzy reasoning process and established initial structure of compensatory fuzzy neural network. Then using adaptive rate algorithm optimized initial network parameters, which can obtain a faster training speed and more precision. Simulation results show that the proposed network has successfully modeled the oxidation decomposition reaction process.

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Applied Mechanics and Materials (Volumes 48-49)

Pages:

5-8

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.48-49.5

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Online since:

February 2011

Authors:

Chun Tao Man, Tian Feng Wang, Xiao Bo Sun, Xin Xin Yang, Jia Cui

Keywords:

Adaptive Rate Algorithm, CHP Decomposition Reaction, Compensatory Fuzzy Neural Network, Particle Swarm Clustering

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