A new stochastic PSO technique for neural network training

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3971 LNCS, Issue , 2006, Pages 564-569

  Li, Yangmin ^a   Chen, Xin ^a  

^a UNIVERSITY OF MACAU   (Macao)

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; OPTIMIZATION; PERFORMANCE; STOCHASTIC CONTROL SYSTEMS;

COMPUTATIONAL COSTS; PARTICLE SWARM OPTIMIZATION(PSO); STOCHASTIC PSO TECHNIQUE;

NEURAL NETWORKS;

EID: 33745913897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11759966_84     Document Type: Conference Paper

References (6)

1. Kennedy, J., Eberhart, R. C.: Particle Swarm Optimization. Proceedings of IEEE International Conference on Neural Network, Perth, Australia (1995) 1942-1948
2. Juang, C. F.: A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 34(2) (2004) 997 - 1006
3. Li, Y. and Chen, X.: Mobile Robot Navigation Using Particle Swarm Optimization and Adaptive NN, Advances in Natural Computation, Eds by L. Wang, K. Chen and Y.S. Ong, Springer, LNCS 3612 (2005), 628-631.
4. Messerschmidt, L., Engelbrecht, A. P.: Learning to Play Games Using a PSO-Based Competitive Learning Approach. IEEE Transactions on Evolutionary Computation 8(3) (2004) 280 - 288
5. Bergh, F., Engelbrecht, A. P.: A Cooperative Approach to Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation 8(3) (2004) 225 -239
6. Clerc, M., Kennedy, J.: The Particle Swarm: Explosion, Stability, and Convergence in a Multi-Dimentional Complex Space. IEEE Transactions on Evolutionary Computation 6(1) (2002) 58-73