Research on product image styling design method based on neural network and genetic algorithm

Jianning Su, Yuhong Jiang, Peng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

On the study of kansei engineering and product image evaluation, a product image styling design method based on neural network and genetic algorithm is presented. Firstly, according to the findings of kansei image, image evaluating pattern with neural network is constructed; and then, according to consumers' kansei image demands and cooperated with evaluating pattern of neural network as genetic filial generation's fitness function, the model of product image styling design with genetic algorithm is developed. It can automatically reason out the conceptual image styling product which will well satisfy consumers' psychical demands. Finally, the colour design of MP3 is taken to examine and certify the verification of the method. However, the proposed method is equally applicable to the styling design of other products.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Natural Computation, ICNC 2008
Pages603-606
Number of pages4
DOIs
StatePublished - 2008
Externally publishedYes
Event4th International Conference on Natural Computation, ICNC 2008 - Jinan, China
Duration: 18 Oct 200820 Oct 2008

Publication series

NameProceedings - 4th International Conference on Natural Computation, ICNC 2008
Volume5

Conference

Conference4th International Conference on Natural Computation, ICNC 2008
Country/TerritoryChina
CityJinan
Period18/10/0820/10/08

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