Presentation | 2016-11-17 Extraction of low dimensional attractors embedded in a recurrent neural network by using Dynamic Mode Decomposition Shin Murata, Masato Okada, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Dynamic Mode Decomposition (DMD) decomposes high-dimensional dynamical data into a few dynamic modes and has been developed in the fluid-dynamics field. The decomposed modes consist of spatial bases and eigenvalues. We apply DMD to the simulation data of a recurrent neural network, and success to extract low-dimensional attractor embedded in the model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Recurrent Neural Network / Dynamic Mode Decomposition |
Paper # | IBISML2016-85 |
Date of Issue | 2016-11-09 (IBISML) |
Conference Information | |
Committee | IBISML |
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Conference Date | 2016/11/16(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kyoto Univ. |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Information-Based Induction Science Workshop (IBIS2016) |
Chair | Kenji Fukumizu(ISM) |
Vice Chair | Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
Secretary | Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Nagoya Inst. of Tech.) |
Assistant | Toshihiro Kamishima(AIST) / Tomoharu Iwata(NTT) |
Paper Information | |
Registration To | Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Extraction of low dimensional attractors embedded in a recurrent neural network by using Dynamic Mode Decomposition |
Sub Title (in English) | |
Keyword(1) | Recurrent Neural Network |
Keyword(2) | Dynamic Mode Decomposition |
1st Author's Name | Shin Murata |
1st Author's Affiliation | The University of Tokyo(Univ. Tokyo) |
2nd Author's Name | Masato Okada |
2nd Author's Affiliation | The University of Tokyo/RIKEN(Univ. Tokyo/RIKEN) |
Date | 2016-11-17 |
Paper # | IBISML2016-85 |
Volume (vol) | vol.116 |
Number (no) | IBISML-300 |
Page | pp.pp.279-285(IBISML), |
#Pages | 7 |
Date of Issue | 2016-11-09 (IBISML) |