Abstract
Artificial neural network (ANN) is a stochastic and heuristic tool that learns the relationship between the parameters and their responses when trained with a finite number of input data and predicts the values of response from the new set of independent variables based on its training experience. This chapter defines various ANNs, their architecture, development and usefulness in prediction of the steady state and transient thermal properties of textiles. The feed-forward back-propagation ANN can predict the thermal insulation of the fabrics based on fabric construction parameters like weave, yarn count, thread density, weight and thickness as input. The network is used to predict the thermal insulation of woven textile fabrics based on these parameters before they are manufactured.
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