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

fYear

2009

fDate

21-23 Oct. 2009

Firstpage

1408

Lastpage

1414

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIEEM.2009.5344409

Filename

5344409