Research on Cellphone Appearance Image Models Based on BP
- DOI
- 10.2991/amcce-15.2015.106How to use a DOI?
- Keywords
- engineering; cellphone modeling; BP neural network; Appearance image
- Abstract
Kansei engineering provides a new idea for perceptual quantitative analysis. This paper targets in quantitative description the relationship between cellphone appearance design and consumer subjective felling, eventually builds a mathematical model through BP neural network. This research start with collecting a large number of perceptual image vocabularies, then transforms subjective assessment to quantitative evaluation by SD method and builds BP neural network mode. Thus analyzes the result of BP Model, the foundation is established by summary of the relationship between product appearance and objective feeling. It can be used to know the rule of how modeling elements affect perceptual image through the complete BP mode. This research provides a scientific method for engineer to process emotional design problem.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yan Zhou AU - Yizhou Yun AU - Ping Yang PY - 2015/04 DA - 2015/04 TI - Research on Cellphone Appearance Image Models Based on BP BT - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SP - 574 EP - 579 SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.106 DO - 10.2991/amcce-15.2015.106 ID - Zhou2015/04 ER -