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SENOGUCHI Junsuke  瀬之口 潤輔

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瀬之口 潤輔  セノグチ ジュンスケ

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Researcher Number 50835428
Affiliation (Current) 2025: 東京工科大学, コンピュータサイエンス学部, 教授
Affiliation (based on the past Project Information) *help 2021 – 2023: 東京工科大学, コンピュータサイエンス学部, 教授
Review Section/Research Field
Principal Investigator
Basic Section 25010:Social systems engineering-related
Keywords
Principal Investigator
効用評価 / リッジ回帰 / TOPIX予測モデル / 条件木 / 二階層進化計算 / 先行指標 / 金融政策 / マルチエージェントシミュレーション
  • Research Projects

    (1 results)
  • Research Products

    (3 results)
  •  二階層進化計算による条件木を用いた金融市場の構造変化予知と金融政策の効用評価Principal Investigator

    • Principal Investigator
      瀬之口 潤輔
    • Project Period (FY)
      2021 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 25010:Social systems engineering-related
    • Research Institution
      Tokyo University of Technology

All 2023 2021

All Journal Article

  • [Journal Article] Stock Price Prediction through STL Decomposition using Multivariate Two-way Long Short-term Memory2023

    • Author(s)
      瀬之口潤輔
    • Journal Title

      Journal of Computer Science and Technology Studies

      Volume: 4 Issue: 2 Pages: 90-96

    • DOI

      10.32996/jcsts.2022.4.2.11

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K04537
  • [Journal Article] Forecasting of Global Stock Market by Two Stage Optimization Model2023

    • Author(s)
      瀬之口潤輔
    • Journal Title

      International Journal on Data Science and Technology

      Volume: 8 Pages: 72-86

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K04537
  • [Journal Article] Extraction of Space Containing Noise and Forecast of Complex Data by Multiway Tree Bi-Level GA2021

    • Author(s)
      瀬之口潤輔
    • Journal Title

      Transactions of the Japanese Society for Artificial Intelligence

      Volume: 36 Issue: 5 Pages: F-L52_1-12

    • DOI

      10.1527/tjsai.36-5_F-L52

    • NAID

      130008082581

    • ISSN
      1346-0714, 1346-8030
    • Year and Date
      2021-09-01
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K04537

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