Prediction of biodiesel density for extended ranges of temperature and pressure using adaptive neuro-fuzzy inference system (ANFIS) and radial basis function (RBF)

Volume: 120, Pages: 311 - 316
Published: Jan 1, 2017
Abstract
Density is a very important fuel property because of its direct relation with the fuel injection process for engines. This paper presents models based on Adaptive Neural Fuzzy interface System (ANFIS) and Radial Basis Function (RBF) to predict the density of biodiesel in a wide temperature and pressure range. Furthermore, this study is also aimed to evaluate and compare the predicted density of biodiesel by using ANFIS and RBF. The models ANFIS...
Paper Details
Title
Prediction of biodiesel density for extended ranges of temperature and pressure using adaptive neuro-fuzzy inference system (ANFIS) and radial basis function (RBF)
Published Date
Jan 1, 2017
Volume
120
Pages
311 - 316
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