DocumentCode
352667
Title
The application of neural network and evolutionary algorithm in mechanical optimal design
Author
Ke, Chen ; Han, Zhao ; Zunzhong, Ke
Author_Institution
Hefei Univ. of Technol., China
Volume
1
fYear
2000
fDate
2000
Firstpage
156
Abstract
Discusses the application of several neural network models and evolutionary algorithm in mechanical optimal design. A time-varying recurrent neural network model, Hopfield model, BP model, Boltzmann model, Gauss model, evolution neural network model and evolutionary algorithm and their applications in mechanical optimal design are discussed also
Keywords
Boltzmann machines; CAD; Hopfield neural nets; backpropagation; evolutionary computation; recurrent neural nets; BP model; Boltzmann model; Gauss model; Hopfield model; evolution neural network model; evolutionary algorithm; mechanical optimal design; neural network models; time-varying recurrent neural network model; Algorithm design and analysis; Evolutionary computation; Gaussian processes; Hopfield neural networks; Intelligent networks; Neural networks; Recurrent neural networks;
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.2000.859938
Filename
859938
Link To Document