Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/36175
Title: An intelligent swarm based-wavelet neural network for affective mobile phone design
Authors: Ling, SH
San, PP
Chan, KY
Leung, FHF 
Liu, Y
Keywords: Affective design
New product development
Fuzzy reasoning model
Particle swarm optimization
Wavelet neural network
Issue Date: 2014
Publisher: Elsevier
Source: Neurocomputing, 2014, v. 142, p. 30-38 How to cite?
Journal: Neurocomputing 
Abstract: In this paper, an intelligent swarm based-wavelet neural network for affective mobile designed is presented. The contribution on this paper is to develop a new intelligent particle swarm optimization (iPSO), where a fuzzy logic system developed based on human knowledge is proposed to determine the inertia weight for the swarm movement of the PSO and the control parameter of a newly introduced cross-mutated operation. The proposed iPSO is used to optimize the parameters of wavelet neural network. An affective design of mobile phones is used to evaluate the effectiveness of the proposed iPSO. It has been found that significantly better results in a statistical sense can be obtained by the iPSO comparing with the existing hybrid PSO methods.
URI: http://hdl.handle.net/10397/36175
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2014.01.054
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

3
Last Week
0
Last month
Citations as of Feb 14, 2017

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
Citations as of Feb 19, 2017

Page view(s)

9
Last Week
0
Last month
Checked on Feb 19, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.