amount of scour around existing spur dikes. Several parameters of a protective spur dike were studied to determine their … performance. To predict the parameters of protective spur dikes for controlling the scour around spur dikes, we used the adaptive …

recognition of motor current. Using an Adaptive Neuro-Fuzzy Inference System (ANFIS) to provide an efficient fault diagnosis tool …

Quantitative and qualitative monthly precipitation forecasts are produced with ANFIS. To select the proper input … the data sets suggests that 3 variables can be used as a suitable number of inputs for ANFIS, and the best five 3-input …

periods as also very high forecasting performance for financial stability periods, indicating that ANFIS technology is more … and investigate the effects of the inputs or the independent variables, while we can simultaneously use ANFIS for …

support ANFIS models to traditional discrete choice models of Probit and Logit, indicating that the last models are not very … useful for forecasting purposes. We have developed a MATLAB routine to show how ANFIS procedure works and it is provided for … independent variables, while we can simultaneously use ANFIS for forecasting purposes. The wise option and the most appropriate …

generated from wind turbines. In this study, the adaptive neuro-fuzzy inference system (ANFIS) is designed and adapted to … estimate optimal power coefficient value of the wind turbines. Neural network in ANFIS adjusts parameters of membership …

fruit forecasting is based on Adaptive Neural Fuzzy Inference System (ANFIS). ANFIS uses a combination of the least …