Taking advantage of hybrid bioinspired intelligent algorithm with decoupled extended Kalman filter for optimizing growing and pruning radial basis function network
暂无分享,去创建一个
Feng Ding | Fei Liu | Zhilei Chai | Wei Song | Qinxin Bao
[1] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[2] Mohamad T. Musavi,et al. On the training of radial basis function classifiers , 1992, Neural Networks.
[3] Sheng Chen,et al. Recursive hybrid algorithm for non-linear system identification using radial basis function networks , 1992 .
[4] Paramasivan Saratchandran,et al. Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm , 1998, IEEE Trans. Neural Networks.
[5] Haralambos Sarimveis,et al. A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms , 2004, Comput. Chem. Eng..
[6] Xin-Jian Zhu,et al. Short communication Modeling a SOFC stack based on GA-RBF neural networks identification , 2007 .
[7] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[8] Gholam Ali Montazer,et al. An improvement in RBF learning algorithm based on PSO for real time applications , 2013, Neurocomputing.
[9] Zhou Juan,et al. Groundwater Table Prediction Based on Improved PSO Algorithm and RBF Neural Network , 2010, 2010 International Conference on Artificial Intelligence and Computational Intelligence.
[10] Najdan Vukovic,et al. A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation , 2013, Neural Networks.
[11] Junfei Qiao,et al. Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network , 2012 .
[12] John C. Platt. A Resource-Allocating Network for Function Interpolation , 1991, Neural Computation.
[13] Narasimhan Sundararajan,et al. An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[14] Minrui Fei,et al. A fast multi-output RBF neural network construction method , 2010, Neurocomputing.
[15] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[16] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[17] Reza Sabzevari,et al. Three-phase strategy for the OSD learning method in RBF neural networks , 2009, Neurocomputing.
[18] Tim Hendtlass. Restarting Particle Swarm Optimisation for deceptive problems , 2012, 2012 IEEE Congress on Evolutionary Computation.
[19] Zhifeng Chen,et al. Application of PSO-RBF Neural Network in Network Intrusion Detection , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.
[20] John Moody,et al. Fast Learning in Networks of Locally-Tuned Processing Units , 1989, Neural Computation.
[21] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[22] N. Sundararajan,et al. A Recursive Growing and Pruning RBF (GAP-RBF) Algorithm for Function Approximations , 2003, 2003 4th International Conference on Control and Automation Proceedings.
[23] Y Lu,et al. A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks , 1997, Neural Computation.
[24] Visakan Kadirkamanathan,et al. A Function Estimation Approach to Sequential Learning with Neural Networks , 1993, Neural Computation.
[25] Paramasivan Saratchandran,et al. Improved GAP-RBF network for classification problems , 2007, Neurocomputing.
[26] Adrian G. Bors,et al. Minimal Topology for a Radial Basis Functions Neural Network for Pattern Classification , 1994 .
[27] Vladan Babovic,et al. GENETIC PROGRAMMING AND ITS APPLICATION IN REAL‐TIME RUNOFF FORECASTING 1 , 2001 .
[28] Hui Wang,et al. Using Radial Basis Function Networks for Function Approximation and Classification , 2012 .
[29] Bin Wang,et al. Application of GA-RBF networks to the nondestructive determination of active component in pharmaceutical powder by NIR spectroscopy , 2009 .