DocumentCode
523549
Title
Approach of Knowledge Acquisition Based on Artificial Neural Network in Product Design Process
Author
Yuan, Changfeng ; Wang, Wanlei ; Chen, Yan ; Li, Jianfeng
Author_Institution
Transp. Manage. Coll., Dalian Maritime Univ., Dalian, China
Volume
1
fYear
2010
fDate
11-12 May 2010
Firstpage
800
Lastpage
803
Abstract
Establishing the relation between design process and product structure is an effective approach to realize knowledge acquisition in product design. In the paper, the method of artificial neural network (ANN) is applied by taking product structure as the point of knowledge acquisition, and ANN models are designed according to the design demands of different design stages, so that the relation between different design stages and the corresponding product structures could be established. Finally, the general design process of a roll plate machine is taken as the example and its BP network model is designed. The effectiveness of proposed approach is validated by training this network and forecasting the new design task.
Keywords
backpropagation; design engineering; knowledge acquisition; neural nets; product design; BP network model; artificial neural network; backpropagation; knowledge acquisition; product design process; product structure; roll plate machine; Artificial neural networks; Computer network management; Conference management; Data mining; Educational institutions; Electronic mail; Knowledge acquisition; Process design; Product design; Transportation; artificial neural network; knowledge acquisition; product design;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.548
Filename
5522586
Link To Document