An intelligent swarm based-wavelet neural network for affective mobile phone design
An intelligent swarm based-wavelet neural network for affective mobile phone design
复制标题
用于情感手机设计的基于智能群的小波神经网络
DOI：
10.1016/j.neucom.2014.01.054
复制
发表时间：
2014-10-22
期刊：
影响因子：
6
通讯作者：
Liu, Y.
中科院分区：
文献类型：
--
作者：
Ling, S. H.;San, P. P.;Liu, Y.
提出了一种基于智能群的情感移动小波神经网络设计方法。本文的贡献是发展了一种新的智能粒子群优化（iPSO），其中提出了一种基于人类知识开发的模糊逻辑系统来确定粒子群运动的惯性权重和新引入的交叉突变操作的控制参数。利用该方法对小波神经网络进行参数优化。利用手机的情感设计来评估所提出的iPSO的有效性。结果表明，与现有的混合粒子群方法相比，该方法在统计意义上可以获得更好的结果。(C) 2014 Elsevier B.V.版权所有
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. (C) 2014 Elsevier B.V. All rights reserved.