Time series prediction with recurrent neural networks trained by a hybrid PSO

Time series prediction with recurrent neural networks trained by a hybrid PSO–EA algorithm

Published:2007-08 Issue:13-15 Volume:70 Page:2342-2353
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Cai Xindi,Zhang Nian,Venayagamoorthy Ganesh K.,Wunsch Donald C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference28 articles.

1. Using selection to improve particle swarm optimization;Angeline;Proc. IEEE Congr. Evolution. Comput.,1998

2. T. Blackwell, P. Bentley, Don’t push me! Collision-avoiding swarms, in: Proceedings of the 2002 Congress on Evolutionary Computation, vol. 2, 2002, pp. 1691–1696.

3. X. Cai, N. Zhang, G.K. Venayagamoorthy, D.C. Wunsch II, Time series prediction with recurrent neural networks using hybrid PSO–EA algorithm, in: Proceedings of INNS-IEEE International Joint Conference on Neural Networks (IJCNN), Vol. 2, Budapest, Hungary, July 25–28, 2004, pp. 1647–1652.

4. Evolution, neural networks, games, and intelligence;Chellapilla;Proc. IEEE Spec. Issue Comput. Intell.,1999

5. Optimal PSO for collective robotic search applications;Doctor;IEEE Congr. Evolution. Comput.,2004

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