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

• 作 者: 马秋瑞 林强强 金守峰
• 机 构: CollegeofFashionandArtofDesign,CollegeofMechanicalandElectricalEngineering
• 出 处: 东华大学学报:英文版
• 发表日期: 2019年6期
• 关键词: WOOL FABRIC feature extraction WAVELET TRANSFORM particle SWARM optimization(PSO
• 基金项目: Natural Science Basic Research Plan in Shaanxi Province of China(No.2017JM5141),Shaanxi Provincial Education Department,China(No.17JK0334),Xi'an Polytechnic University Graduate Innovation Fund,Chi

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 b