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犬伏研究室
Showing the original Japanese · View translation
力学系理論で乱流や機械学習の非線形現象を探る研究室。

AboutAbout the lab
力学系理論で、非線形な現象を読み解く。
犬伏研究室は、
力学系理論は
この
最近は、
Key terms
- 力学系理論
- 微分方
程式などの 数理モデルを 研究する 数学の 一分 野 - カオス
- 非線形な
数理モデルで、 確率的な 要素が なくても 起こる、 一見ランダムに 見える 現象 - リザバーコンピューティング
- 学習パラメタに
関する 線形モデルで、 入力と 出力の 時系列の 間の 非線形な 関係を 近似する 機械学習法 - 強化学習
- 時間全体に
わたる 最適化問題に 向いた 機械学習法
NewsLab news
2次元乱流の
データ同化の 論文が、 Journal of Fluid Mechanics 誌から 出版され 表紙にも 選出 修士課程の
学生との 共著論文が、 Scientific Reports 誌から 出版 犬伏准教授が、
日本流体力学会の 竜門賞を 受賞 乱流の
データ同化の 論文が、 Physical Review Letters 誌から 出版
ResearchResearch themes
数学、
*Illustrative image流体の運動を力学系で調べる
ナヴィエ-ストークス方程式に
*Illustrative imageリザバーコンピューティングの数理
リザバーコンピューティングは、
*Illustrative image強化学習による流体混合の最適化
効率の
MembersFaculty
- Associate Professor犬伏 正信
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Turbulence arbre 2 modifié-1” Lamiot / CC BY-SA 3.0 (cropped)
- 流体の
運動を 力学系で 調べる : “Airplane vortex edit” NASA Langley Research Center (NASA-LaRC), Edited by Fir0002 / Public domain (cropped) - リザバーコンピューティングの
数理: “Artificial Neural Network with Chip” mikemacmarketing / original posted on flickr Liam Huang / clipped and posted on flickr / CC BY 2.0 (cropped) - 強化学習に
よる流体混合の 最適化: “CSIRO ScienceImage 2797 Textile Dye in Water” Textile and Fibre Technology, CSIRO / CC BY 3.0 (cropped) - Related lab (中山研究室): “Răstoliţa, train schedule” cs:ŠJů / CC BY-SA 3.0 (cropped)
- Related lab (橋口研究室): “Random-pixels-black-white” Georg-Johann / CC0 (cropped)
- Related lab (石渡研究室): “Star Cluster R )” Credit: NASA, ESA, and STScI / Public domain (cropped)
- Related lab (関川研究室): “Abacus hg” Hannes Grobe / CC BY-SA 4.0 (cropped)
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