Hierarchical genetic algorithm based neural network design
作者： G.G. Yen , Haiming Lu
关键词: Recurrent neural network 、 Feedforward neural network 、 Artificial intelligence 、 Time delay neural network 、 Nervous system network models 、 Deep learning 、 Neural gas 、 Probabilistic neural network 、 Physical neural network 、 Computer science
摘要: In this paper, we propose a novel genetic algorithm based design procedure for multi-layer feedforward neural network. Hierarchical is used to evolve both network topology and parameters. Compared with traditional designs network, the proposed hierarchical approach addressed several deficiencies highlighted in literature. A multi-objective function herein optimize performance of evolved Two benchmark problems are successfully verified proves be competitive or even superior back-propagation Mackey-Glass chaotic time series prediction.
sci-hub.se 参考文章(11)
James D. Kelly, Lawrence Davis, Hybridizing the Genetic Algorithm and the K Nearest Neighbors Classification Algorithm. ICGA. pp. 377- 383 ,(1991)
Peter M. Todd, Shailesh U. Hegde, Geoffrey F. Miller, Designing neural networks using genetic algorithms international conference on genetic algorithms. pp. 379- 384 ,(1989)
J.D. Schaffer, D. Whitley, L.J. Eshelman, Combinations of genetic algorithms and neural networks: a survey of the state of the art [Proceedings] COGANN-92: International Workshop on Combinations of Genetic Algorithms and Neural Networks. pp. 1- 37 ,(1992) , 10.1109/COGANN.1992.273950
J.Y. Ke, K.S. Tang, K.F. Man, P.C.K. Luk, Hierarchical genetic fuzzy controller for a solar power plant international symposium on industrial electronics. ,vol. 2, pp. 584- 588 ,(1998) , 10.1109/ISIE.1998.711667
D Whitley, T Starkweather, C Bogart, Genetic algorithms and neural networks: optimizing connections and connectivity parallel computing. ,vol. 14, pp. 347- 361 ,(1990) , 10.1016/0167-8191(90)90086-O
Xiao-Ming Gao, S.J. Ovaska, Z.O. Hartimo, Speech signal restoration using an optimal neural network structure Proceedings of International Conference on Neural Networks (ICNN'96). ,vol. 4, pp. 1841- 1846 ,(1996) , 10.1109/ICNN.1996.549181
D.B. Fogel, Selecting an optimal neural network conference of the industrial electronics society. pp. 1211- 1214 ,(1990) , 10.1109/IECON.1990.149309
Eric I. Chang, Richard P Lippmann, Using Genetic Algorithms to Improve Pattern Classification Performance neural information processing systems. ,vol. 3, pp. 797- 803 ,(1990)
D. Dasgupta, D.R. McGregor, Designing application-specific neural networks using the structured genetic algorithm [Proceedings] COGANN-92: International Workshop on Combinations of Genetic Algorithms and Neural Networks. pp. 87- 96 ,(1992) , 10.1109/COGANN.1992.273946
B.A. Whitehead, T.D. Choate, Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction IEEE Transactions on Neural Networks. ,vol. 7, pp. 869- 880 ,(1996) , 10.1109/72.508930