An intelligent swarm based-wavelet neural network for affective mobile phone design
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 i...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/24535 |
| _version_ | 1848751457866612736 |
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| author | Ling, S. San, P. Chan, Kit Yan Leung, F. Liu, Y. |
| author_facet | Ling, S. San, P. Chan, Kit Yan Leung, F. Liu, Y. |
| author_sort | Ling, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:53:02Z |
| format | Journal Article |
| id | curtin-20.500.11937-24535 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:53:02Z |
| publishDate | 2014 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-245352019-02-19T04:27:40Z An intelligent swarm based-wavelet neural network for affective mobile phone design Ling, S. San, P. Chan, Kit Yan Leung, F. Liu, Y. Wavelet neural network New product development Fuzzy reasoning model Particle swarm optimization Affective design 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. 2014 Journal Article http://hdl.handle.net/20.500.11937/24535 10.1016/j.neucom.2014.01.054 Elsevier BV fulltext |
| spellingShingle | Wavelet neural network New product development Fuzzy reasoning model Particle swarm optimization Affective design Ling, S. San, P. Chan, Kit Yan Leung, F. Liu, Y. An intelligent swarm based-wavelet neural network for affective mobile phone design |
| title | An intelligent swarm based-wavelet neural network for affective mobile phone design |
| title_full | An intelligent swarm based-wavelet neural network for affective mobile phone design |
| title_fullStr | An intelligent swarm based-wavelet neural network for affective mobile phone design |
| title_full_unstemmed | An intelligent swarm based-wavelet neural network for affective mobile phone design |
| title_short | An intelligent swarm based-wavelet neural network for affective mobile phone design |
| title_sort | intelligent swarm based-wavelet neural network for affective mobile phone design |
| topic | Wavelet neural network New product development Fuzzy reasoning model Particle swarm optimization Affective design |
| url | http://hdl.handle.net/20.500.11937/24535 |