Comparative Analysis of Modeling Methods for Predicting Woven Fabric Properties

Abstract

Three modeling methodologies based on mathematical, empirical and artificial neural network based on radial basis function have been compared for their ability to predict fabric properties. It has been observed that artificial neural network model produced the least error as well as minimum range of error as compared to the other modeling methodologies.