DocumentCode :
3345130
Title :
Research on Multidisciplinary Design Optimization Based Response Surface Technology of Artificial Neural Network
Author :
Wen, Hanyun ; Hu, Jie
Author_Institution :
Sch. of Comput. Sci., Yangtze Univ., Jingzhou, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
510
Lastpage :
514
Abstract :
In the paper, we constructed the response surface mold through the neural network, elaborated the concept and mathematics description of the response surface. Through a real example, we solved the coupling relationship during multidisciplinary as well as the synthesis coordination of many disciplines with multidisciplinary design based on the response surface. We completed the data exchanging and coordinating during each sub-discipline through the response surface of neural network and approached the optimal solution. The research indicates that the response face mold constructed with neural network can reduce the analysis time and enhance the precision to a great extent and help us seek for better design finally.
Keywords :
design; neural nets; optimisation; response surface methodology; artificial neural network; data coordination; data exchange; multidisciplinary design optimization; response face mold; response surface technology; Algorithm design and analysis; Artificial neural networks; Computer networks; Design engineering; Design optimization; Feeds; Genetics; Neural networks; Response surface methodology; Systems engineering and theory; artificial neural network; multidisciplinary optimization; response surface technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
Type :
conf
DOI :
10.1109/WGEC.2009.28
Filename :
5402785
Link To Document :
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