A neural network approach to the optimal combination of product color design

Yang Cheng Lin, Chung Hsing Yeh, Chen Hui Hung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper presents a neural network (NN) approach to determining the best matching colors for a given product image in product design. With a wide variety of forms and colors on the market, mobile phones are used in an experimental study to illustrate the approach. 33 representative mobile phones and 50 commonly used colors are used as experimental samples to examine how product color affects a product image perceived by consumers. Four NN models are built with different hidden neurons to examine how a particular combination of mobile phone form and color matches the simple-complex image. The performance evaluation result shows that the number of hidden neurons has no significant effect on the predictive ability of the NN models. The NN models can be used to construct a product color database for supporting design decisions on product colors for matching a desirable product image.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008
Pages53-57
Number of pages5
DOIs
Publication statusPublished - 2008
Event4th International Conference on Networked Computing and Advanced Information Management, NCM 2008 - Gyeongju, Korea, Republic of
Duration: 2008 Sept 22008 Sept 4

Publication series

NameProceedings - 4th International Conference on Networked Computing and Advanced Information Management, NCM 2008
Volume1

Other

Other4th International Conference on Networked Computing and Advanced Information Management, NCM 2008
Country/TerritoryKorea, Republic of
CityGyeongju
Period08-09-0208-09-04

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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