Prediction on Fabric Hand in Intelligent Systems

Fabric hand is commonly adopted for the assessment of fabric quality and prospective performance that can be assessed by subjective judgments from sensory experts and mechanical properties tested from instrument in textile and apparel industry. The prediction model of fabric hand is built up with BP neural network, twenty-two mechanical properties carried by FAST system are the input variable candidates the output layer are nine subjective scales got from twenty textile and apparel experts, it is proved the precision of the prediction model has excellent effect and it is a efficiency way to predict fabric hand.