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RISANFIS modeling of viscosity in low-fat mayonnaise
The aim of this study was to employ pectin and modified starch as the fat mimetics in mayonnaise. All mayonnaise treatments were evaluated and compared based on viscosity at 4, 25 and 40º C. An adaptive neuro-fuzzy inference system (ANFIS) was used...
Development of a prediction model for estimating tractor engine torque based on soft computing and low cost sensors
function (RBF) neural network and adaptive neuro fuzzy inference system (ANFIS) were used. Thirteen training algorithms were examined to train the RBF. These algorithms were compared using three statistical methods, namely k-fold cross validation...
A methodological approach of predicting threshold channel bank profile by multi-objective evolutionary optimization of ANFIS
-fuzzy inference system (ANFIS), Differential Evolution (DE) algorithm and Singular Value Decomposition (SVD) to predict the bank profile of a threshold channel. SVD and DE serve to optimally determine the consequent linear parameters and antecedent nonlinear...
Application of ANFIS to exchange rate forecasting
, nonlinear and volatile so that nonlinear models have better performance
for its forecasting. In this study the accuracy of ANFIS as the nonlinear model and ARIMA as the linear models
for forecasting 2, 4 and 8 days ahead of daily Iran Rial...
Neuro-Fuzzy Based Approach for Estimation of Hydrofoil Performance
In this research, a numerical procedure is used to solve Navier-Stokes equation on a submerge hydrofoil and the estimation of hydrofoil performance is done by Adaptive Neuro-Fuzzy Inference System (ANFIS) model. A pressure-based implicit technique...