Compressive strength prediction of SCC containing fly ash using SVM and PSO-SVM models

被引:0
|
作者
Rajeshwari, R. [1 ,2 ]
Mandal, Sukomal [1 ]
Rajasekaran, C. [2 ]
机构
[1] Department of Civil Engineering, PES University, Bengaluru,560 085, India
[2] Department of Civil Engineering, National Institute of Technology Karnataka, Surathkal, 575 025, India
来源
关键词
The authors are thankful to Prof V. Krishnamurthy; Chairperson; Department of Civil Engineering; PES University; Bengaluru for his whole hearted support. Thanks to Mr S. Sumanth; Dept. of Civil Engineering; Cleveland State Univ; USA; Prof K. Rajagopal; IIT Madras; Prof M. R. Behera; IIT Bombay and Mr. Subhash; PES University for their help in acquiring literature and constant supports;
D O I
暂无
中图分类号
学科分类号
摘要
29
引用
收藏
页码:1 / 11
相关论文
共 50 条
  • [21] Study of PSO-SVM Model for Daily Water Demand Prediction
    Jiang, Baiyi
    Mu, Tianwei
    Zhao, Ming
    Shen, Danyu
    Wang, Lingping
    PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING (ICMMCCE 2017), 2017, 141 : 408 - 413
  • [22] Prediction of Shunt Malfunction of Track Circuit Based on PSO-SVM
    Mengqi-Zhang
    Huibing-Zhao
    PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 1777 - 1781
  • [23] Prediction of Flood Discharge Using Hybrid PSO-SVM Algorithm in Barak River Basin
    Samantaray, Sandeep
    Sahoo, Abinash
    Agnihotri, Ankita
    METHODSX, 2023, 10
  • [24] Prediction of performance deterioration of rolling bearing based on JADE and PSO-SVM
    Zan, Tao
    Liu, Zhihao
    Wang, Hui
    Wang, Min
    Gao, Xiangsheng
    Pang, Zhaoliang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2021, 235 (09) : 1684 - 1697
  • [25] Prediction of Ground Water Levels in Uplands of Coastal Tropical Riparian using PSO-SVM
    Hegde, Arkal Vittal
    Das, Vishnu S.
    Nyamathi, Shivkumar J.
    INTERNATIONAL JOURNAL OF ECOLOGY & DEVELOPMENT, 2014, 29 (03) : 79 - 86
  • [26] Prediction of surrounding rock classification of highway tunnel based on PSO-SVM
    Li Xuhong
    Wang Qiang
    2019 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2019), 2019, : 443 - 446
  • [27] Research on the adaptive prediction model for drilling accidents based on PSO-SVM
    Xu, Yingzhuo
    Sun, Wanhai
    Xu, Y., 2013, Asian Network for Scientific Information (12) : 2635 - 2640
  • [28] Prediction of compressive strength of concrete containing fly ash using data mining techniques
    Martins, Francisco F.
    Camoes, Aires
    CEMENT WAPNO BETON, 2013, 18 (01): : 39 - +
  • [29] Using Chaotic Adaptive PSO-SVM for Heart Disease Diagnosis
    Yang, Haiyan
    Luo, Qifang
    Zhou, Yongquan
    2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 5, 2009, : 156 - 160
  • [30] Compressive Strength Prediction Models for Fly-Ash Brick Masonry
    Teja, Peri Raghava Ravi
    Sahu, Santosini
    Sarkar, Pradip
    Davis, Robin
    PRACTICE PERIODICAL ON STRUCTURAL DESIGN AND CONSTRUCTION, 2022, 27 (02)