Research and application of line fuzzy neural network learning algorithm

2012 ◽  
Author(s):  
Xiujian Lv ◽  
Aitao Zhao
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Learning Algorithm ◽  
Neural Network Learning ◽  
Network Learning ◽  
Fuzzy Neural

Research on Line Fuzzy Neural Network Learning Algorithm and its Application

2014 ◽  
Vol 543-547 ◽  
pp. 2112-2115
Author(s):  
Qian Zhang ◽  
Qing Qing Zhang ◽  
Chun Peng He
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Control Area ◽  
Gradient Algorithm ◽  
Neural Network Learning ◽  
The Past ◽  
Fuzzy Neural ◽  
On Line

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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