Optimisation of turning parameters by integrating genetic algorithm with support vector regression and artificial neural networks

被引：0
|
作者：
机构：
[1] Gupta, Amit Kumar
[2] Guntuku, Sharath Chandra
[3] Desu, Raghuram Karthik
[4] Balu, Aditya
来源：
Gupta, Amit Kumar (akgupta@hyderabad.bits-pilani.ac.in) | 2015年 / Springer London卷 / 77期
关键词：
Neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1 / 4
相关论文
共 50 条
  • [31] Tourism demand forecasting by support vector regression and genetic algorithm
    Cai, Zhong-jian
    Lu, Sheng
    Zhang, Xiao-bin
    2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 5, 2009, : 144 - +
  • [32] Genetic Algorithm and Support Vector Regression for Software Effort Estimation
    Lin, Jin-Cherng
    Chang, Chu-Ting
    ADVANCED RESEARCH ON MATERIAL ENGINEERING, CHEMISTRY AND BIOINFORMATICS, PTS 1 AND 2 (MECB 2011), 2011, 282-283 : 748 - 752
  • [33] Support Vector Regression and Genetic Algorithm for HVAC Optimal Operation
    Chen, Ching-Wei
    Chang, Yung-Chung
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [34] Feature selection for support vector regression using a genetic algorithm
    Mckearnan, Shannon B.
    Vock, David M.
    Marai, G. Elisabeta
    Canahuate, Guadalupe
    Fuller, Clifton D.
    Wolfson, Julian
    BIOSTATISTICS, 2023, 24 (02) : 295 - 308
  • [35] Forecasting Electricity Consumption with Neural Networks and Support Vector Regression
    Ogcu, Gamze
    Demirel, Omer F.
    Zaim, Selim
    8TH INTERNATIONAL STRATEGIC MANAGEMENT CONFERENCE, 2012, 58 : 1576 - 1585
  • [36] Hybrid process modeling and optimization strategies integrating neural networks/support vector regression and genetic algorithms: study of benzene isopropylation on Hbeta catalyst
    Nandi, S
    Badhe, Y
    Lonari, J
    Sridevi, U
    Rao, BS
    Tambe, SS
    Kulkarni, BD
    CHEMICAL ENGINEERING JOURNAL, 2004, 97 (2-3) : 115 - 129
  • [37] Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks
    Robert F. Chevalier
    Gerrit Hoogenboom
    Ronald W. McClendon
    Joel A. Paz
    Neural Computing and Applications, 2011, 20 : 151 - 159
  • [38] Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks
    Chevalier, Robert F.
    Hoogenboom, Gerrit
    McClendon, Ronald W.
    Paz, Joel A.
    NEURAL COMPUTING & APPLICATIONS, 2011, 20 (01): : 151 - 159
  • [39] Forecasting with computational intelligence - An evaluation of support vector regression and artificial neural networks for time series prediction
    Crone, Sven F.
    Lessmann, Stefan
    Pietsch, Swantje
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 3159 - +
  • [40] EEG signal analysis using classification techniques: Logistic regression, artificial neural networks, support vector machines, and convolutional neural networks
    Guerrero, Maria Camila
    Parada, Juan Sebastian
    Espitia, Helbert Eduardo
    HELIYON, 2021, 7 (06)
12345