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Facial expression recognition using RBF neural network based on improved artificial fish swarm algorithm

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4 Author(s)
Wang Ye ; School of Information Technology, Jiangnan University, Wuxi 214122, China ; Wu Xiaojun ; Wang Shitong ; Yang Jingyu

Artificial fish swarm algorithm (AFSA) is a global optimization method proposed recently. After analyzing the disadvantages of AFSA, this paper introduced best-step operator and refined the prey behavior. An improved artificial fish-swarm algorithm for the RBF neural network and a model based on this method is developed. Finally the new algorithm is applied to the problem of expression recognition. The research indicates that the new algorithm has some advantages in terms of convergence performance, recognition rate and so on.

Published in:

2008 27th Chinese Control Conference

Date of Conference:

16-18 July 2008