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
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.859938
