Nakai Kengo 中井拳吾

… Alternative Names

中井拳吾ナカイケンゴ

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Researcher Number	40879805
Other IDs
Affiliation (Current)	2026: 岡山大学, 環境生命自然科学学域, 講師
Affiliation (based on the past Project Information) *help	2023 – 2024: 岡山大学, 環境生命自然科学学域, 講師 2022: 東京海洋大学, 学術研究院, 助教
Review Section/Research Field	Principal Investigator Basic Section 61040:Soft computing-related
Keywords	Principal Investigator 数理解析 / カオス / 時系列データ / リザーバーコンピューティング / 機械学習 / 力学系 / 時間発展モデリング

Dynamical system analysis of constructed machine learning model from time-series dataPrincipal Investigator
- Principal Investigator
  
  中井拳吾
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Okayama University
  Tokyo University of Marine Science and Technology

All 2025 2024 2023 2022

All Journal Article Presentation

[Journal Article] Data-driven ordinary-differential-equation?modeling of high-frequency complex dynamics via a low-frequency dynamics model2025
- Author(s)
  Tsutsumi Natsuki、Nakai Kengo、Saiki Yoshitaka
- Journal Title
  
  Physical Review E
  
  Volume: 111 Issue: 1 Pages: 014212-014212
- DOI
  10.1103/physreve.111.014212
- Peer Reviewed
- Data Source
  KAKENHI-PUBLICLY-23H04465, KAKENHI-PROJECT-21K18584, KAKENHI-PROJECT-19KK0067, KAKENHI-PROJECT-24K00537, KAKENHI-PROJECT-22K17965
[Journal Article] Lyapunov analysis of data-driven models of high dimensional dynamics using reservoir computing: Lorenz-96 system and fluid flow2024
- Author(s)
  Kobayashi Miki U、Nakai Kengo、Saiki Yoshitaka
- Journal Title
  
  Journal of Physics: Complexity
  
  Volume: 5 Issue: 2 Pages: 025024-025024
- DOI
  10.1088/2632-072x/ad5264
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PUBLICLY-23H04465, KAKENHI-PROJECT-21K18584, KAKENHI-PROJECT-19KK0067, KAKENHI-PROJECT-24K00537, KAKENHI-PROJECT-22K17965
[Journal Article] Constructing low-dimensional ordinary differential equations from chaotic time series of high- or infinite-dimensional systems using radial-function-based regression2023
- Author(s)
  Tsutsumi Natsuki、Nakai Kengo、Saiki Yoshitaka
- Journal Title
  
  Physical Review E
  
  Volume: 108 Issue: 5 Pages: 054220-054220
- DOI
  10.1103/physreve.108.054220
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K18584, KAKENHI-PROJECT-22K17965, KAKENHI-PROJECT-19KK0067, KAKENHI-PUBLICLY-23H04465
[Journal Article] Constructing differential equations using only a scalar time-series about continuous time chaotic dynamics2022
- Author(s)
  Tsutsumi Natsuki、Nakai Kengo、Saiki Yoshitaka
- Journal Title
  
  Chaos: An Interdisciplinary Journal of Nonlinear Science
  
  Volume: 32 Issue: 9 Pages: 091101-091101
- DOI
  10.1063/5.0100166
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K18584, KAKENHI-PROJECT-22K17965, KAKENHI-PROJECT-19KK0067
[Presentation] Data-driven modeling from biased small training data using periodic orbits2025
- Author(s)
  Kengo Nakai
- Organizer
  Differential Equations for Data Science 2025
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] ニューラルネットワークを用いた時系列データの学習方法と構築したモデルの解析2025
- Author(s)
  中井拳吾
- Organizer
  MZセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] 偏った時系列データを用いた機械学習による時間発展モデリング2025
- Author(s)
  中井拳吾
- Organizer
  北陸応用数理研究会
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] Construction of a data-driven model by periodic orbits2024
- Author(s)
  Kengo Nakai
- Organizer
  Tateyama Dynamics Workshop 2024
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] 時間遅れ座標系を用いた機械学習による流体や気象の時間発展モデリング2024
- Author(s)
  中井拳吾
- Organizer
  富山応用解析セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] 機械学習により得た時間発展モデルの力学系解析2024
- Author(s)
  中井拳吾
- Organizer
  AI・データ利活用研究会
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] 偏った時系列データを用いた機械学習による時間発展モデリング2024
- Author(s)
  中井拳吾
- Organizer
  日本応用数理学会年会
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] Evaluation of a data-driven model using reservoir computing from dynamical system point of view2024
- Author(s)
  中井拳吾
- Organizer
  日本数学会特別講演
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] 少ないデータを用いた時系列データモデリング2024
- Author(s)
  中井拳吾
- Organizer
  数学と現象
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] Low-period periodic orbits model the Lorenz attractor2024
- Author(s)
  中井拳吾
- Organizer
  RIMS 力学系の理論と応用
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] 偏った時系列データを用いた機械学習による時間発展モデリング2024
- Author(s)
  中井拳吾
- Organizer
  東大数値解析セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] Constructing a data-driven model of intraseasonal weather time-series using machine learning2023
- Author(s)
  Kengo Nakai
- Organizer
  International Workshop on Ergodic Theory, Dynamical Systems, and Climate Sciences
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] 機械学習モデルの力学系解析2023
- Author(s)
  Kengo Nakai
- Organizer
  数値解析と機械学習の協同が拓く新時代の数理科学
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] Implementing Reservoir Computing in Practice2023
- Author(s)
  Kengo Nakai
- Organizer
  20th Prediction Science Seminar
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] 機械学習による時系列データの学習と気象現象のモデリングへの応用2023
- Author(s)
  Kengo Nakai
- Organizer
  岡山大学AI研究会
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] Evaluation of a data-driven model using reservoir computing from dynamical system point of view2023
- Author(s)
  Kengo Nakai
- Organizer
  10th International Congress on Industrial and Applied Mathematics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] 機械学習による時系列データの学習と気象現象のモデリングへの応用2023
- Author(s)
  Kengo Nakai
- Organizer
  岡山応用数学セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] Constructing a data-driven model of intraseasonal weather time-series using machine learning2023
- Author(s)
  Kengo Nakai
- Organizer
  XLIII Dynamics Days Europe
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] Dynamical system analysis of a data-driven model constructed by reservoir computing2022
- Author(s)
  Kengo Nakai
- Organizer
  Hirosaki University Workshop on Nonlinear Science 2022
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17965
[Presentation] Evaluation of a data-driven model using reservoir computing from dynamical system point of view2022
- Author(s)
  Kengo Nakai
- Organizer
  Dynamics days europe 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17965

1. 齊木吉隆

# of Collaborated Projects: 0 results

# of Collaborated Products: 4 results

Nakai Kengo 中井 拳吾

中井 拳吾 ナカイ ケンゴ

Research Projects

Research Products

Co-Researchers

Dynamical system analysis of constructed machine learning model from time-series dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Data-driven ordinary-differential-equation?modeling of high-frequency complex dynamics via a low-frequency dynamics model2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Lyapunov analysis of data-driven models of high dimensional dynamics using reservoir computing: Lorenz-96 system and fluid flow2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Constructing low-dimensional ordinary differential equations from chaotic time series of high- or infinite-dimensional systems using radial-function-based regression2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Constructing differential equations using only a scalar time-series about continuous time chaotic dynamics2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] Data-driven modeling from biased small training data using periodic orbits2025

Author(s)

Organizer

Data Source

[Presentation] ニューラルネットワークを用いた時系列データの学習方法と構築したモデルの解析2025

Author(s)

Organizer

Data Source

[Presentation] 偏った時系列データを用いた機械学習による時間発展モデリング2025

Author(s)

Organizer

Data Source

[Presentation] Construction of a data-driven model by periodic orbits2024

Author(s)

Organizer

Data Source

[Presentation] 時間遅れ座標系を用いた機械学習による流体や気象の時間発展モデリング2024

Author(s)

Organizer

Data Source

[Presentation] 機械学習により得た時間発展モデルの力学系解析2024

Author(s)

Organizer

Data Source

[Presentation] 偏った時系列データを用いた機械学習による時間発展モデリング2024

Author(s)

Organizer

Data Source

[Presentation] Evaluation of a data-driven model using reservoir computing from dynamical system point of view2024

Author(s)

Organizer

Data Source

[Presentation] 少ないデータを用いた時系列データモデリング2024

Author(s)

Organizer

Data Source

[Presentation] Low-period periodic orbits model the Lorenz attractor2024

Author(s)

Organizer

Data Source

[Presentation] 偏った時系列データを用いた機械学習による時間発展モデリング2024

Author(s)

Organizer

Data Source

[Presentation] Constructing a data-driven model of intraseasonal weather time-series using machine learning2023

Author(s)

Organizer

Data Source

[Presentation] 機械学習モデルの力学系解析2023

Nakai Kengo 中井拳吾

中井拳吾ナカイケンゴ