Prediction of the Performance of the Fabrics in Garment Manufacturing by Artificial Neural Network

被引：1
|
作者：
刘侃
张渭源
机构：
[1] Donghua University
[2] Fashion Institute
[3] Shanghai 200051
来源：
Journal of Donghua University(English Edition) | 2004年 / 05期
关键词：
garment manufacturing performance; artificial neural network; FAST parameters;
D O I：
10.19884/j.1672-5220.2004.05.007
中图分类号：
TS102 [纺织纤维（纺织原材料）];
学科分类号：
082102 ;
摘要：
An artificial neural network is used to predict the performance of fabrics in clothing manufacturing. The predictions are based on fabric mechanical properties measured on the FAST system. The influences of the different ANNs construct on the convergence speed and the prediction accuracy are investigated. The result indicates that the BP neural network is an efficiency technique and has a wide prospect in the application to garment processing.
引用
收藏
页码：22 / 26
页数：5
相关论文
共 50 条
  • [21] Prediction of Yarn Strength Utilization in Cotton Woven Fabrics using Artificial Neural Network
    Mishra S.
    Journal of The Institution of Engineers (India): Series E, 2015, 96 (02) : 151 - 157
  • [22] Application of artificial neural network in prediction of the combine harvester performance
    Gundoshmian, Tarahom Mesri
    Ghassemzadeh, Hamid Reza
    Abdollahpour, Shamsollah
    Navid, Hossein
    JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT, 2010, 8 (02): : 721 - 724
  • [23] Prediction of reverse osmosis performance using artificial neural network
    Murthy, ZVP
    Vora, MM
    INDIAN JOURNAL OF CHEMICAL TECHNOLOGY, 2004, 11 (01) : 108 - 115
  • [24] Application of artificial neural network for prediction of operational performance of MNSR
    Tabas, E. Jangjoo
    Nejad, M. Zaidabadi
    Mokhtari, J.
    Abbassi, Y.
    NUCLEAR ENGINEERING AND DESIGN, 2024, 419
  • [25] Performance prediction of a cooling tower using artificial neural network
    Hosoz, M.
    Ertunc, H. M.
    Bulgurcu, H.
    ENERGY CONVERSION AND MANAGEMENT, 2007, 48 (04) : 1349 - 1359
  • [26] AN ARTIFICIAL NEURAL-NETWORK FOR THE PREDICTION OF IMMISCIBLE FLOOD PERFORMANCE
    GHARBI, R
    KARKOUB, M
    ELKAMEL, A
    ENERGY & FUELS, 1995, 9 (05) : 894 - 900
  • [27] Modelling and prediction of machining parameters in composite manufacturing using artificial neural network
    Ramanan, G.
    Samuel, G. Diju
    Sherin, S. Muthu
    Samuel, K.
    2ND INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING (ICAME 2018), 2018, 402
  • [28] Rapid prototyping parameter prediction for laminated object manufacturing with artificial neural network
    Zhang, Lianhong
    Wu, Huajie
    Zhong, Honghui
    Cui, Guoqi
    Zhu, Keshan
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 1999, 10 (12): : 1347 - 1348
  • [29] Prediction and validation of constituent materials for concrete manufacturing using artificial neural network
    Vellaipandian, Kannan
    Periasamy, Raja Priya
    Balasubramanian, Venkatesan
    INNOVATIVE INFRASTRUCTURE SOLUTIONS, 2023, 8 (06)
  • [30] Prediction and validation of constituent materials for concrete manufacturing using artificial neural network
    Kannan Vellaipandian
    Raja Priya Periasamy
    Venkatesan Balasubramanian
    Innovative Infrastructure Solutions, 2023, 8
12345