Robust Identification of Hydrocarbon Debutanizer Unit using Radial Basis Function Neural Networks (RBFNNs)
暂无分享,去创建一个
Mehdi Shahbazian | Masih Vafaee Ayouri | Mahboobeh Taheri | Bahman Moslemi | M. Shahbazian | B. Moslemi | M. Taheri | M. V. Ayouri
[1] A. V.DavidSánchez,et al. Robustization of a learning method for RBF networks , 1995, Neurocomputing.
[2] George E. Tsekouras,et al. A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach , 2012, Fuzzy Sets Syst..
[3] Luis Puigjaner,et al. On-line fault diagnosis support for real time evolution applied to multi-component distillation , 2005 .
[4] Shang-Liang Chen,et al. Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.
[5] Spyros G. Tzafestas,et al. On-line RBFNN based identification of rapidly time-varying nonlinear systems with optimal structure-adaptation , 2003, Math. Comput. Simul..
[6] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[7] Lennart Ljung,et al. Perspectives on system identification , 2010, Annu. Rev. Control..
[8] L. Buydens,et al. Determination of optimal support vector regression parameters by genetic algorithms and simplex optimization , 2005 .
[9] Chien-Cheng Lee,et al. Noisy time series prediction using M-estimator based robust radial basis function neural networks with growing and pruning techniques , 2009, Expert Syst. Appl..
[10] Jin-Tsong Jeng,et al. Annealing robust radial basis function networks for function approximation with outliers , 2004, Neurocomputing.
[11] John Holland,et al. Adaptation in Natural and Artificial Sys-tems: An Introductory Analysis with Applications to Biology , 1975 .
[12] Shun-Feng Su,et al. The annealing robust backpropagation (ARBP) learning algorithm , 2000, IEEE Trans. Neural Networks Learn. Syst..
[13] Dan Simon,et al. Training radial basis neural networks with the extended Kalman filter , 2002, Neurocomputing.
[14] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[15] M.N.S. Swamy,et al. Neural networks in a softcomputing framework , 2006 .
[16] Chein-I Chang,et al. Robust radial basis function neural networks , 1999, IEEE Trans. Syst. Man Cybern. Part B.
[17] David W. Coit,et al. Multi-objective optimization using genetic algorithms: A tutorial , 2006, Reliab. Eng. Syst. Saf..
[18] Chia-Ju Wu,et al. Radial basis function networks with hybrid learning for system identification with outliers , 2011, Appl. Soft Comput..
[19] Chia-Nan Ko,et al. Identification of nonlinear systems with outliers using wavelet neural networks based on annealing dynamical learning algorithm , 2012, Eng. Appl. Artif. Intell..
[20] Nasser Mohamed Ramli,et al. Composition Prediction of a Debutanizer Column using Equation Based Artificial Neural Network Model , 2014, Neurocomputing.
[21] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[22] N. B. Karayiannis,et al. Gradient descent learning of radial basis neural networks , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[23] Amiya K. Jana,et al. Nonlinear state estimation and control of a refinery debutanizer column , 2009, Comput. Chem. Eng..
[24] Hooshang Jazayeri-Rad,et al. Robust data-driven soft sensor based on iteratively weighted least squares support vector regression optimized by the cuckoo optimization algorithm , 2015 .
[25] D. Broomhead,et al. Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks , 1988 .