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Hopfield Network Based Optimization of Mechanical Design

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3 Author(s)
Ping Wang ; School of Automation, Chongqing University of Posts & Telecommun, Chongqing 400065, China. E-mail: ; Hong-Zhong Huang ; Xu Zhang

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

Published in:

2005 International Conference on Neural Networks and Brain  (Volume:3 )

Date of Conference:

13-15 Oct. 2005