Surface Quality Evaluation of Fluff Fabric Based on Particle Swarm Optimization Back Propagation Neural Network

• Published in: 东华大学学报（英文版） Vol. 36; no. 6; pp. 539 - 546
• Main Authors: MA Qiurui, LIN Qiangqiang, JIN Shoufeng
• Format: Journal Article
• Language: English
• Published: College of Fashion and Art of Design, Xi'an Polytechnic University, Xi'an 710048, China%College of Mechanical and Electrical Engineering, Xi'an Polytechnic University, Xi'an 710048, China 31.12.2019
• Subjects: particle swarm optimization ( PSO ); back propagation ( BP ) neural network; feature extraction; wool fabric; wavelet transform

TN911.73; Aiming at the problem that back propagation ( BP) neural network predicts the low accuracy rate of fluff fabric after fluffing process, a BP neural network model optimized by particle swarm optimization ( PSO) algorithm is proposed.The sliced image is obtained by the principle of light-cut...