DocumentCode :
1566784
Title :
Hopfield Network Based Optimization of Mechanical Design
Author :
Wang, Ping ; Huang, Hong-Zhong ; Zhang, Xu
Author_Institution :
Sch. of Autom., Chongqing Univ. of Posts & Telecommun.
Volume :
3
fYear :
2005
Firstpage :
1766
Lastpage :
1769
Abstract :
Most of recent work related to using Hopfield network to optimization problems focuses on its capabilities in solving linear programming, combinatorial optimization, and so on. This paper discusses the application of Hopfield network to optimal design of mechanical systems, exploring Hopfield network´s advantages in constrained nonlinear programming involved in mechanical design. An example is given to illustrate the efficiency of Hopfield network in solving problems of mechanical optimal design
Keywords :
Hopfield neural nets; mechanical engineering computing; nonlinear programming; Hopfield network; mechanical design; nonlinear programming; optimization problems; Design optimization; Electronic mail; Hopfield neural networks; Linear programming; Mechanical systems; Neural networks; Neurofeedback; Neurons; Telecommunications; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614969
Filename :
1614969
Link To Document :
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