Research on Line Fuzzy Neural Network Learning Algorithm and its Application

Qian Zhang; Qing Qing Zhang; Chun  Peng He

doi:10.4028/www.scientific.net/AMM.543-547.2112

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Research on Line Fuzzy Neural Network Learning...

Research on Line Fuzzy Neural Network Learning Algorithm and its Application

Abstract:

This paper transforms a common conjugate gradient algorithm, based on the fuzzy neural network for line. This thesis systematically studies the performances and learning algorithms of two FNN models, monolithic FNN and polygonal FNN, based on the past progress of FNN theory and application. The major issues in the thesis are the perturbation of monolithic FNN, the learning algorithms and universal approximation of polygonal FNN and the achievements obtained here are applied to fuzzy control area.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2112-2115

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2112

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Online since:

March 2014

Authors:

Qian Zhang*, Qing Qing Zhang, Chun Peng He

Keywords:

Fuzzy Arithmetic, Fuzzy Neural Network (FNN), Genetic Algorithm (GA), Monolithic Fuzzy Neural Network, Polygonal Fuzzy Neural Network, Quantum Genetic Algorithm, Universal Approximation

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* - Corresponding Author

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