DocumentCode :
1802245
Title :
Research of grinding process fuzzy neural network system based on fuzzy logic
Author :
Zhao Hongwei ; Qi Yiming ; Zhao Yan ; Gao Zhichao
Author_Institution :
College of Computer Science and Technology, Jilin University, Changchun, China
fYear :
2013
fDate :
1-8 Jan. 2013
Firstpage :
1
Lastpage :
4
Abstract :
This paper, taking grinding control for example, combines the advantages of fuzzy control and neural network technology, proposes a fuzzy neural network structure based on fuzzy logic rule. Based on fuzzy logic, we give a method in which fuzzy logic can be converted into an equivalent fuzzy neural network. We discuss the network layers structure and derivation process of the algorithm in detail. The simulation results demonstrate the feasibility of the fuzzy neural network. Experiments show that this method are satisfactory, of which the error rate is low, and has a good practical value.
Keywords :
Educational institutions; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Neural networks; Neurons; Training; Artificial neural network; Fuzzy logic; Fuzzy neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
Type :
conf
DOI :
10.1109/ANTHOLOGY.2013.6784828
Filename :
6784828
Link To Document :
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