Artificial Neural Network Based Prediction of Aesthetic & Functional Properties of Worsted Suiting Fabrics
To design textile structures, models derived from first principles yield many errors due to assumptions and therefore become unsuitable as prediction tools under real world dynamic conditions. Therefore an alternative approach that can predict non- linear relations is considered. An engineered approach to fabric development is described in which a radial basis function network is trained with worsted fabric constructional parameters to predict functional and aesthetic properties of fabrics. An objective method of fabric appearance evaluation with the help of digital image processing is introduced. The prediction of fabric properties by the network with changing basic fibre characteristics and fabric constructional parameters is found to have good correlation with the experimental values of fabric functional and aesthetic properties.
Artificial neural network Digital image processing Fabric appearance index Radial basis function network
B K Behera Rajesh Mishra
Department of Textile Technology, Indian Institute of Technology, India
国际会议
杭州
英文
403-405
2006-08-22（万方平台首次上网日期，不代表论文的发表时间）