Modeling meteorological prediction using particle swarm optimization and neural network ensemble

Authors:
Jiansheng Wu;Long Jin;Mingzhe Liu
Affiliations:
Department of Mathematics and Computer, Liuzhou Teachers College, Guangxi, China;Guangxi Research Institute of Meteorological Disaster Mitigation, Nanning, Guangxi, China;Institutes of Information Sciences and Technology, Massey University, Palmerston North, New Zealand
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Year:
2006

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Abstract

In this paper a novel optimization approach is presented. Network architecture and connection weights of neural networks (NN) are evolved by a particle swarm optimization (PSO) method, and then the appropriate network architecture and connection weights are fed into back-propagation (BP) networks. The ensemble strategy is carried out by simple averaging. The applied example is built with monthly mean rainfall of the whole area in Guangxi, China. The results show that the proposed approach can effectively improves convergence speed and generalization ability of NN.