A WORSTED FABRIC EXPERT-SYSTEM PART II - AN ARTIFICIAL NEURAL-NETWORKMODEL FOR PREDICTING THE PROPERTIES OF WORSTED FABRICS

This two-part series of papers reports on the development of a worsted fabric expert system that provides guidelines for engineering worsted fabrics. Part II describes a neural network model for predicting fabr ic properties based on fiber, yarn, and fabric constructional paramete rs. An evaluation of the model shows very good agreement between the p redicted and generally accepted trends of the effects of various fiber , yarn, and fabric parameters on several important fabric properties s uch as seam slippage, wrinkle performance, abrasion resistance, shear rigidity, bending rigidity, and thickness. The predicted values of man y of these fabric properties are also in good agreement with the exper imental values.