An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for Cryptocurrency Forecasting

Nor Azizah Hitam, Amelia Ritahani Ismail*, Faisal Saeed

*Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    46 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)427-433
    Number of pages7
    JournalProcedia Computer Science
    Volume163
    DOIs
    Publication statusPublished (VoR) - 2019
    Event16th International Learning and Technology Conference, L and T 2019 - Jeddah, Saudi Arabia
    Duration: 30 Jan 201931 Jan 2019

    Funding

    This research was supported by the IIUM Research Initiative Grants Scheme (RIGS): RIGS16-346-0510.

    FundersFunder number
    International Islamic University MalaysiaRIGS16-346-0510

      Keywords

      • Artificial Intelligence
      • Cryptocurrency
      • Machine Learning
      • Particle Swarm Optimization
      • Support Vector Machines

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