DocumentCode :
354230
Title :
Modeling method of machine joints´ tangential contact damping based on BP neural network
Author :
Xueliang, Zhang ; Shuhua, Wen ; Yumei, Huang
Author_Institution :
Taiyuan Heavy Machinery Inst., China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1139
Abstract :
To realize the unified modeling of machine joints´ tangential contact damping under multijoint conditions, the description method of the basic influencing factors´ characteristics of machine joints´ tangential contact damping is discussed. Then, the concepts of dynamic-intelligent neuron, generalized-intelligent BP network and generalized intelligent BP algorithm are proposed. On this basis, the unified modeling method of machine joints´ tangential contact damping under multijoint conditions is put forward based on artificial neural network technology. This is proved feasible by the given modeling example. This modeling method has the characteristics of both a traditional modeling method and the building of a database
Keywords :
backpropagation; damping; feedforward neural nets; mechanical contact; structural engineering computing; BP neural network; backpropagation; dynamic-intelligent neuron; generalized intelligent BP network; machine joint tangential contact damping modeling; multijoint conditions; Artificial intelligence; Artificial neural networks; Damping; Databases; Intelligent networks; Joining materials; Machine intelligence; Machinery; Neural networks; Optimization methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.863419
Filename :
863419
Link To Document :
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