Estimating biofuel density via a soft computing approach based on intermolecular interactions
Abstract
In this work, the density of biofuel is estimated using four intelligent models: a Least Square Support Vector Machine (LSSVM), a Radial Basis Function Artificial Neural Network (RBF-ANN), a Multi-layer Perceptron Artificial Neural Network (MLP-ANN), and an Adaptive Network-based Fuzzy Inference System (ANFIS). These models are used to estimate the density of biofuel based on intermolecular interactions and the van der Waals radii of the atoms....
Paper Details
Title
Estimating biofuel density via a soft computing approach based on intermolecular interactions
Published Date
Jun 1, 2020
Journal
Volume
152
Pages
1086 - 1098
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