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Sliding mode control based support vector machine RBF kernel parameter optimization

  • Maryam Yalsavar
  • , Paknoosh Karimaghaee
  • , Akbar Sheikh-Akbari
  • , Jamshid Dehmeshki
  • , Mohammad Hassan Khooban
  • , Salah Al-Majeed
    • Shiraz University
    • Leeds Beckett University
    • Kingston University
    • Aarhus University
    • University of Gloucestershire

    Research output: Contribution to conference › Paper › peer-review

    Original languageEnglish
    DOIs
    Publication statusPublished - 9 Dec 2019
    Event2019 IEEE International Conference on Imaging Systems and Techniques (IST) - Abu Dhabi, United Arab Emirates
    Duration: 9 Dec 2019 → 10 Dec 2019

    Conference

    Conference2019 IEEE International Conference on Imaging Systems and Techniques (IST)
    Period9/12/19 → 10/12/19

    Bibliographical note

    Note: Published in: 2019 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings. Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISSN (print on demand) 1558-2809 ISBN (electronic) 9781728138688

    Keywords

    • Computer science and informatics

    Access to Document

    • 1 Conference contribution

    • Sliding mode control based support vector machine RBF kernel parameter optimization

      Yalsavar, M., Karimaghaee, P., Sheikh-Akbari, A., Dehmeshki, J., Khooban, M.-H. & Al-Majeed, S., 9 Dec 2019, Published in: 2019 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings. Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISSN (print on demand) 1558-2809 ISBN (electronic) 9781728138688.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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