مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

722
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

USING CFO METHOD TO DESIGN A NOVEL MULTI-OBJECTIVE CLASSIFIER

Pages

  43-55

Abstract

 In designing a classifier and estimating the optimum decision hyperplanes, the main goal is often high “recognition score” in the training phase. While other objectives such as “reliability” of decisions and “the number of optimum decision functions” are also very important factors during designing classifiers, which should never be forgotten. In this paper, at first, the central force optimization (CFO) algorithm developed for MULTI-objective optimization problems (namely, MOCFO), and then a novel MULTI-objective classifier is constructed based on using the proposed MOCFO and called MOCFO-classifier. In fact, MOCFO-classifier optimizes the above objectives simultaneously. Due to selecting the number of optimal hyperplane in the proposed method, the important issues; “overfitting” and “overtraining” have also been removed. The experimental results on difficult test data show that the proposed MULTI-objective classifier provides a set of various and optimum options of the hyperplane that separate different classes for making user ideal conditions in regards to selecting mentioned aspects.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    ZAHIRI, S.H., & SHEIKHPOUR, S.. (2013). USING CFO METHOD TO DESIGN A NOVEL MULTI-OBJECTIVE CLASSIFIER. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 4(1), 43-55. SID. https://sid.ir/paper/202939/en

    Vancouver: Copy

    ZAHIRI S.H., SHEIKHPOUR S.. USING CFO METHOD TO DESIGN A NOVEL MULTI-OBJECTIVE CLASSIFIER. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2013;4(1):43-55. Available from: https://sid.ir/paper/202939/en

    IEEE: Copy

    S.H. ZAHIRI, and S. SHEIKHPOUR, “USING CFO METHOD TO DESIGN A NOVEL MULTI-OBJECTIVE CLASSIFIER,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 4, no. 1, pp. 43–55, 2013, [Online]. Available: https://sid.ir/paper/202939/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button