Hybrid ANFIS-PSO approach for predicting optimum parameters of a protective spur dike

[1]  Mohammad Mohammadhassani,et al.  Application of ANFIS and LR in prediction of scour depth in bridges , 2014 .

[2]  Abdollah Ardeshir,et al.  Verification of numerical study of scour around spur dikes using experimental data , 2014 .

[3]  Ainuddin Wahid Abdul Wahab,et al.  Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission , 2014 .

[4]  Xiaowei Yang,et al.  The one-against-all partition based binary tree support vector machine algorithms for multi-class classification , 2013, Neurocomputing.

[5]  Dong-Sheng Jeng,et al.  Predictions of bridge scour: Application of a feed-forward neural network with an adaptive activation function , 2013, Eng. Appl. Artif. Intell..

[6]  Mu-Yen Chen,et al.  A hybrid ANFIS model for business failure prediction utilizing particle swarm optimization and subtractive clustering , 2013, Inf. Sci..

[7]  Alireza Keshavarzi,et al.  Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model , 2012, Appl. Soft Comput..

[8]  Kourosh Behzadian,et al.  Protective spur dike for scour mitigation of existing spur dikes , 2011 .

[9]  Mahesh Pal,et al.  Support vector regression based modeling of pier scour using field data , 2011, Eng. Appl. Artif. Intell..

[10]  Mahesh Pal,et al.  Modelling pile capacity using Gaussian process regression , 2010 .

[11]  Chia-Feng Juang.  Combination of Particle Swarm and Ant Colony Optimization Algorithms for Fuzzy Systems Design , 2010 .

[12]  Mahmud Güngör,et al.  Generalized Regression Neural Networks and Feed Forward Neural Networks for prediction of scour depth around bridge piers , 2009, Adv. Eng. Softw..

[13]  Mohammad Teshnehlab,et al.  Training ANFIS as an identifier with intelligent hybrid stable learning algorithm based on particle swarm optimization and extended Kalman filter , 2009, Fuzzy Sets Syst..

[14]  Mojtaba Ahmadieh Khanesar,et al.  Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods , 2009, Appl. Soft Comput..

[15]  Mahesh Pal,et al.  Application of support vector machines in scour prediction on grade-control structures , 2009, Eng. Appl. Artif. Intell..

[16]  Z.A. Bashir,et al.  Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural Networks , 2009, IEEE Transactions on Power Systems.

[17]  Xiaohui Yuan,et al.  Application of enhanced PSO approach to optimal scheduling of hydro system , 2008 .

[18]  Hajime Nakagawa,et al.  Scour around Spur Dyke: Recent Advances and Future Researches , 2008 .

[19]  K. Behzadian,et al.  Reduction of Local Scouring with Protective Spur Dike , 2008 .

[20]  Willi H. Hager,et al.  Spur Failure in River Engineering , 2008 .

[21]  Dong-Sheng Jeng,et al.  Neural Network Modeling for Estimation of Scour Depth Around Bridge Piers , 2007 .

[22]  S. M. Bateni,et al.  Neural network and neuro-fuzzy assessments for scour depth around bridge piers , 2007, Eng. Appl. Artif. Intell..

[23]  B. Melville,et al.  Scour Countermeasures for Wing-Wall Abutments , 2006 .

[24]  Xiaoou Li,et al.  Fuzzy identification using fuzzy neural networks with stable learning algorithms , 2004, IEEE Transactions on Fuzzy Systems.

[25]  James Kennedy,et al.  The Behavior of Particles , 1998, Evolutionary Programming.

[26]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[27]  Nabil A. Zaghloul,et al.  Local scour around spur-dikes , 1983 .

[28]  M. A. Gill.  Erosion of Sand Beds around Spur Dikes , 1972 .

[29]  I. S. Papadopulos,et al.  Closure of "Flow of Ground Water to Collector Wells" , 1963 .

[30]  R. Garde,et al.  Study of Scour Around Spur-Dikes , 1961 .

[31]  Lawrence F. Pratt.  Flow Losses in the Lower Gila River , 1960 .

[32]  Mushtaq Ahmad.  Experiments On Design And Behavior Of Spur Dikes , 1953 .