Training neural networks with PSO in dynamic environments
暂无分享,去创建一个
Andries Petrus Engelbrecht | Anna Sergeevna Bosman | Anna S. Rakitianskaia | A. Engelbrecht | A. Rakitianskaia
[1] Andries Petrus Engelbrecht,et al. Cooperative learning in neural networks using particle swarm optimizers , 2000, South Afr. Comput. J..
[2] Peter J. Bentley,et al. Dynamic Search With Charged Swarms , 2002, GECCO.
[3] Alexey Tsymbal,et al. The problem of concept drift: definitions and related work , 2004 .
[4] Andries Petrus Engelbrecht,et al. Fundamentals of Computational Swarm Intelligence , 2005 .
[5] Gerry Dozier,et al. Applying the particle swarm optimizer to non-stationary environments , 2002 .
[6] Andries Petrus Engelbrecht,et al. A Cooperative approach to particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[7] Jürgen Branke,et al. Proceedings of the Workshop on Evolutionary Algorithms for Dynamic Optimization Problems (EvoDOP-2003) held in conjunction with the Genetic and Evolutionary Computation Conference (GECCO-2003), 12 July 2003, Chicago, USA [online] , 2003 .
[8] José Boaventura Cunha,et al. Non-linear concentration control system design using a new adaptive particle swarm optimiser , 2002 .
[9] Andries Petrus Engelbrecht,et al. Cooperative charged particle swarm optimiser , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[10] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[11] Jürgen Branke,et al. Multiswarms, exclusion, and anti-convergence in dynamic environments , 2006, IEEE Transactions on Evolutionary Computation.
[12] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[13] S. Lawrence,et al. Function Approximation with Neural Networks and Local Methods: Bias, Variance and Smoothness , 1996 .
[14] R. Eberhart,et al. Comparing inertia weights and constriction factors in particle swarm optimization , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).
[15] Sun Zhiyi,et al. Application of combined neural networks in nonlinear function approximation , 2000, Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393).
[16] James F. Frenzel,et al. Training product unit neural networks with genetic algorithms , 1993, IEEE Expert.
[17] Frans van den Bergh,et al. An analysis of particle swarm optimizers , 2002 .
[18] Xiaodong Li,et al. Comparing particle swarms for tracking extrema in dynamic environments , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..