)), adaptive neuro-fuzzy inference system (ANFIS) and Winter method for prediction of seasonality in prices of potatoes and onions … in Iran over the seasonal period 1986_2001. Results show that the best estimators in order are winter method, ANFIS and … geostatistical methods. The results indicate that Winter and ANFIS had powerful results for prediction the prices while …

according to the type of inputs to the proposed ANFIS unit, the generator terminal impedance measurements (R and X) and the …

Inference System (ANFIS). The results of the investigations have shown that the ANFIS has a promising tool when applied for … turbo-generators phase backup protection. The effect of this tool varies according to the type of input data used for ANFIS … testing and validation. The proposed method in this paper proposes the use of two different sets of inputs to the ANFIS, these …

(ANFISs) and weather conditions. ANFIS combines the interpretability of fuzzy inference systems and the learning ability of …

This work presents an adaptive neuro-fuzzy inference system (ANFIS) artificial intelligence methodology of predicting … purpose, substractive clustering and grid partition approaches were utilized to train the ANFIS models required in estimating … the 2nd law efficiency and total irreversibility using some experimental data. Furthermore, predictions of ANFIS models …

(ANFIS), artificial neural network (ANN) and response surface methodology (RSM) methods were employed. The average energy … ratio was obtained 1.205, and the R2 of the best ANFIS, ANN and RSM models were 0.989, 0.966, and 0.990, respectively, and … MSE was calculated at 0.0005, 0.0015 and 0.00003. The results revealed that the RSM and ANFIS models were preferred to the …