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 :
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