Prediction of machine reconfigurability using artificial neural network for a reconfigurable serial product flow line

被引：0
|
作者：
Hasan, Faisal [1 ]
Jain, P.K. [1 ]
Kumar, Dinesh [1 ]
机构：
[1] Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttrakhand,247667, India
来源：
International Journal of Industrial and Systems Engineering | 2014年 / 18卷 / 03期
关键词：
Neural networks;
D O I：
10.1504/IJISE.2014.065535
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：283 / 305
相关论文
共 50 条
  • [1] SIMULATION AND PREDICTION OF DEBRIS FLOW USING ARTIFICIAL NEURAL NETWORK
    WANG Xie-kang1
    [J]. Chinese Geographical Science, 2003, (03) : 71 - 75
  • [2] Simulation and prediction of debris flow using artificial neural network
    Xie-kang Wang
    Er Huang
    Peng Cui
    [J]. Chinese Geographical Science, 2003, 13 : 262 - 266
  • [3] SIMULATION AND PREDICTION OF DEBRIS FLOW USING ARTIFICIAL NEURAL NETWORK
    Wang Xie-kang
    Huang Er
    Cui Peng
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2003, 13 (03) : 262 - 266
  • [4] Crop Prediction Using Artificial Neural Network and Support Vector Machine
    Fegade, Tanuja K.
    Pawar, B. V.
    [J]. DATA MANAGEMENT, ANALYTICS AND INNOVATION, ICDMAI 2019, VOL 2, 2020, 1016 : 311 - 324
  • [5] Pharmaceutical plant machine availability prediction using Artificial Neural Network
    Garg, Deepika
    Roy, Nihar Ranjan
    Khanna, Ashish
    [J]. INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2022, 16 (02): : 325 - 335
  • [6] Mass flow prediction in a refrigeration machine using artificial neural networks
    Fonseca, Vinicius David
    Duarte, Willian Moreira
    de Oliveira, Raphael Nunes
    Machado, Luiz
    Maia, Antonio Augusto Torres
    [J]. APPLIED THERMAL ENGINEERING, 2022, 214
  • [7] On-line Voltage Instability Prediction using an Artificial Neural Network
    Hagmar, Hannes
    Le Anh Tuan
    Carlson, Ola
    Eriksson, Robert
    [J]. 2019 IEEE MILAN POWERTECH, 2019,
  • [8] Economic lifetime prediction of a mining drilling machine using an artificial neural network
    Al-Chalabi, Hussan
    Ahmadzadeh, Farzaneh
    Lundberg, Jan
    Ghodrati, Behzad
    [J]. INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT, 2014, 28 (05) : 311 - 322
  • [9] PREDICTION OF OFFSHORE PLATFORM MOORING LINE TENSIONS USING ARTIFICIAL NEURAL NETWORK
    Sidarta, Djoni E.
    Kyoung, Johyun
    O'Sullivan, Jim
    Lambrakos, Kostas F.
    [J]. PROCEEDINGS OF THE ASME 36TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2017, VOL 1, 2017,
  • [10] Prediction of daily failure rate using the serial triple diagram model and artificial neural network
    Kiziloz, Burak
    [J]. WATER SUPPLY, 2022, 22 (09) : 7040 - 7058
12345