Output details
15 - General Engineering
Brunel University London
Article title
Personalized customization in product design using customer attributes and artificial neural network
Type
D - Journal article
Title of journal
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Article number
-
Volume number
226
Issue number
8
First page of article
1416
ISSN of journal
2041-2975
Year of publication
2012
Number of additional authors
1
Additional information
This paper developed a novel approach to model the regularity and relationship between customer attributes and product evaluation using artificial neural networks. The results have established the feasibility and success of this method. The new neural network model developed is essentially an extension of KE (kansei) technology, and can be used to predict and/or evaluate new product concepts based upon customer attributes. It will find application in product design and, in particular, personalized customization, high value products and future emotion-driven design.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
