An intelligent swarm based-wavelet neural network for affective mobile phone design

S. H. Ling, P. P. San, K. Y. Chan, Hung Fat Frank Leung, Y. Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)30-38
Number of pages9
Publication statusPublished - 22 Oct 2014


  • Affective design
  • Fuzzy reasoning model
  • New product development
  • Particle swarm optimization
  • Wavelet neural network

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

Cite this