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 inertia weight for the swarm movement of PSO and the control parameter of a newly introduced cross-mutated operation. This iPSO will be used to optimize the parameters of wavelet neural network. Application on affective design of mobile phones is used to test the performance of the proposed iPSO and found that it is significantly better than that of the existing hybrid PSO methods in a statistical sense.