Title :
Study on Kansei status evaluation of consumer electronics products based on artificial neural network
Author :
Wang, Xingyuan ; Yang, Xu
Author_Institution :
Sch. of Manage., Shandong Univ., Jinan, China
Abstract :
Using Kansei engineering method, this paper discussed the principle of Kansei status evaluation of consumer electronics products, and analyzed the approach to quantify the inner perception of consumers. Based on the technology of artificial neural network, this paper established neural network model of perceptual status evaluation of consumer electronics products. Using investigation samples to train this neural network, we got the optimized neural evaluation network.
Keywords :
electronic products; neural nets; production engineering computing; Kansei engineering method; Kansei status evaluation; artificial neural network; consumer electronics products; neural network model; optimized neural evaluation network; perceptual status evaluation; Artificial neural networks; Consumer electronics; Design engineering; Engineering management; Heart; Image analysis; Image recognition; Pattern analysis; Product design; Psychology; Kamei engineering; Kansei status evaluation; artificial neural network; consumer electronics products;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344409
