Artificial Neural Network and Support Vector Regression Modeling for Prediction of Mixing Time in Wet Granulation

被引:0
|
作者
Boonyasith Chamnanthongpaivanh
Jittima Chatchawalsaisin
Oran Kittithreerapronchai
机构
[1] Chulalongkorn University,Department of Industrial Engineering, Faculty of Engineering
[2] Chulalongkorn University,Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmaceutical Sciences
来源
关键词
Wet granulation; Artificial neural network; Support vector regression;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1235 / 1246
页数:11
相关论文
共 50 条
  • [31] New ridge regression, artificial neural networks and support vector machine for wind speed prediction
    Zheng, Yun
    Ge, Yisu
    Muhsen, Sami
    Wang, Shifeng
    Elkamchouchi, Dalia H.
    Ali, Elimam
    Ali, H. Elhosiny
    [J]. ADVANCES IN ENGINEERING SOFTWARE, 2023, 179
  • [32] Comparison between Regression Models, Support Vector Machine (SVM), and Artificial Neural Network (ANN) in River Water Quality Prediction
    Najwa Mohd Rizal, Nur
    Hayder, Gasim
    Mnzool, Mohammed
    Elnaim, Bushra M. E.
    Mohammed, Adil Omer Yousif
    Khayyat, Manal M.
    [J]. PROCESSES, 2022, 10 (08)
  • [33] Modeling pile capacity using support vector machines and generalized regression neural network
    Pal, Mahesh
    Deswal, Surinder
    [J]. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2008, 134 (07) : 1021 - 1024
  • [34] A comparison between performance of support vector regression and artificial neural network in prediction of pipe burst rate in water distribution networks
    Akbar Shirzad
    Massoud Tabesh
    Raziyeh Farmani
    [J]. KSCE Journal of Civil Engineering, 2014, 18 : 941 - 948
  • [35] A comparison between performance of support vector regression and artificial neural network in prediction of pipe burst rate in water distribution networks
    Shirzad, Akbar
    Tabesh, Massoud
    Farmani, Raziyeh
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2014, 18 (04) : 941 - 948
  • [36] A Continuous-time Recurrent Neural Network for Real-time Support Vector Regression
    Liu, Qingshan
    Zhao, Yan
    [J]. PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN CONTROL AND AUTOMATION (CICA), 2013, : 189 - 193
  • [37] Software Defect Prediction: A Comparison Between Artificial Neural Network and Support Vector Machine
    Arora, Ishani
    Saha, Anju
    [J]. ADVANCED COMPUTING AND COMMUNICATION TECHNOLOGIES, 2018, 562 : 51 - 61
  • [38] Estimation of dam reservoir volume fluctuations using artificial neural network and support vector regression
    Unes, F.
    Yildirim, S.
    Cigizoglu, H. K.
    Coskun, H.
    [J]. JOURNAL OF ENGINEERING RESEARCH, 2013, 1 (03): : 53 - 74
  • [39] Time series prediction based on support vector regression
    College of Information and Engineering, Northeastern University, Shenyang, 110004, China
    [J]. Inf. Technol. J, 2006, 2 (353-357):
  • [40] Localized support vector regression for time series prediction
    Yang, Haiqin
    Huang, Kaizhu
    King, Irwin
    Lyu, Michael R.
    [J]. NEUROCOMPUTING, 2009, 72 (10-12) : 2659 - 2669