Performance prediction of Savonius Wind Turbine using adaptive neuro-based fuzzy inference system (ANFIS)
暂无分享,去创建一个
[1] Shahaboddin Shamshirband,et al. Adaptive neuro-fuzzy estimation of building augmentation of wind turbine power , 2014 .
[2] A T Sayers,et al. Blade Configuration Optimization and Performance Characteristics of a Simple Savonius Rotor , 1985 .
[3] G. Aydin. Forecasting Natural Gas Production Using Various Regression Models , 2015 .
[4] Pejman Tahmasebi,et al. A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation , 2012, Comput. Geosci..
[5] Hadi Sutanto,et al. An Experimental Study on the Performance of Savonius Wind Turbines Related With The Number Of Blades , 2015 .
[6] Ali Barati-Harooni,et al. Implementing a PSO-ANFIS model for prediction of viscosity of mixed oils , 2017 .
[7] B. F. Blackwell,et al. Wind tunnel performance data for two- and three-bucket Savonius rotors , 1978 .
[8] N. Anantharaman,et al. Hydrodynamic studies in fluidized bed with internals and modeling using ANN and ANFIS , 2017 .
[9] V. J. Modi,et al. On the Performance of the Savonius Wind Turbine , 1989 .
[10] T. Warren Liao,et al. Prediction of tensile strength of friction stir weld joints with adaptive neuro-fuzzy inference system (ANFIS) and neural network , 2016 .
[11] Bahman Najafi,et al. Application of ANFIS, ANN, and logistic methods in estimating biogas production from spent mushroom compost (SMC) , 2018, Resources, Conservation and Recycling.
[12] J. Sargolzaei,et al. Modeling and simulation of wind turbine Savonius rotors using artificial neural networks for estimation of the power ratio and torque , 2009, Simul. Model. Pract. Theory.