Faced with the problems of few factory data samples, numerous parameters, and strong
collinearity between parameters, this paper proposes a Bayesian algorithm P-ARD based …

The breaking elongation of rotor-spun yarns has been predicted by using linear regression,
artificial neural network and neuro-fuzzy models. Cotton fibre properties measured by high …

Soft computing is a cluster of modelling and optimisation techniques which mimics the
behaviour of biological systems. Artificial neural network (ANN), fuzzy logic (FL) and genetic …

In this study, an analysis on the breaking elongation mechanism of the polyester/viscose
blended open-end rotor spun yarns has been carried out. In addition, a back propagation …

In this paper we undertake to engineer yarn of predefined strength by choosing suitable raw
material and process parameters. In an attempt to achieve a yarn of optimal strength, the …

Fibers image analysis is a new approach used in textile industries based on image
processing techniques to enhance fiber imaging applications. These applications include …

In this paper, we have tried to manufacture cotton yarns with requisite strength by choice of
suitable raw material and process parameters. In an attempt to achieve a yarn having …

This chapter describes attempts to break the black box myth of neural networks. It describes
two attempts to find the relative importance of inputs from a trained network. The first of these …