Adaptive learning approach of integrating evolution fuzzy-neural networks and Q-learning for mobile robots

2008 ◽  
Author(s):  
Hong-Jian Zhon ◽  
Wei-Min Hsieh ◽  
Yih-Guang Leu ◽  
Chin-Ming Hong
Keyword(s):  
Neural Networks ◽  
Mobile Robots ◽  
Adaptive Learning ◽  
Fuzzy Neural Networks ◽  
Learning Approach ◽  
Q Learning ◽  
Fuzzy Neural

scholarly journals Self-Learning Visual Servoing of Robot Manipulator Using Explanation-Based Fuzzy Neural Networks and Q-Learning

2014 ◽  
Vol 78 (1) ◽  
pp. 83-104 ◽  
Author(s):  
Mehdi Sadeghzadeh ◽  
David Calvert ◽  
Hussein A. Abdullah
Keyword(s):  
Neural Networks ◽  
Visual Servoing ◽  
Robot Manipulator ◽  
Fuzzy Neural Networks ◽  
Q Learning ◽  
Fuzzy Neural ◽  
Self Learning

Optimization and Research of the Adaptive Wiener Filter Based on Fuzzy Neural Networks

2013 ◽  
Vol 411-414 ◽  
pp. 1660-1664
Author(s):  
Yan Jun Zhao ◽  
Li LIU
Keyword(s):  
Neural Networks ◽  
Adaptive Learning ◽  
Fuzzy Neural Network ◽  
Learning Algorithm ◽  
Wiener Filter ◽  
Fuzzy Neural Networks ◽  
Central Value ◽  
Fuzzy Neural ◽  
Training Error ◽  
Neural Network Technology

This paper introduces fuzzy neural network technology into the adaptive filter and makes further research on its structure and algorithms. At first, fuzzy rules are determined and the network structure is built by means of dividing fuzzy subspaces. Secondly, membership functions are chosen layers are defined and the network is trained by adaptive learning algorithm. Thirdly, training error is the minimum with repeating debugging. Finally, linking weight, the central value and width of the network membership function is adjusted by using experience of experts. The optimal performance of Adaptive Wiener Filter is realized based on Fuzzy Neural Networks.

Dynamic adaptive learning algorithm based on two-fuzzy neural-networks

2014 ◽  
Vol 125 ◽  
pp. 88-94 ◽  
Author(s):  
Dan Meng ◽  
Zheng Pei
Keyword(s):  
Neural Networks ◽  
Adaptive Learning ◽  
Learning Algorithm ◽  
Fuzzy Neural Networks ◽  
Fuzzy Neural

Online and self-learning approach to the identification of fuzzy neural networks

2020 ◽  
pp. 1-1
Author(s):  
Wei Li ◽  
Junfei Qiao ◽  
Xiao-Jun Zeng
Keyword(s):  
Neural Networks ◽  
Fuzzy Neural Networks ◽  
Learning Approach ◽  
Fuzzy Neural ◽  
Self Learning
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