Prediction of Fabrics’ Air Permeability Properties by Artificial Neural Network (ANN) Models

Abstract

In this research it is aimed to predict fabrics' air permeability properties by ANNs (artificial neural networks) before production with using inputs like some fabric parameters and finishing treatments. For this aim 27 various fabrics were weaved. After dyeing finishing treatments for antipilling were applied to fabrics in 3 concentrations. ANN models were established to predict fabrics' air permeability values with the selected 6 inputs such as weft yarn number, weft density, weaving pattern, fabric weight, fabric thickness and finishing treatment concentrations. The best results whose regression degree is R = 0.99366, were obtained with two hidden layer networks with 5 neurons.