WEKO3
アイテム
Neural Model Extraction for Model-Based Control of a Neural Network Forward Model
http://hdl.handle.net/10228/00008683
http://hdl.handle.net/10228/00008683d7fcccb7-8a56-4f6d-aa34-a9a7a886183a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
neuro_17.pdf (869.6 kB)
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| アイテムタイプ | 学術雑誌論文 = Journal Article(1) | |||||||||||||
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| 公開日 | 2022-01-24 | |||||||||||||
| 資源タイプ | ||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||
| 資源タイプ | journal article | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Neural Model Extraction for Model-Based Control of a Neural Network Forward Model | |||||||||||||
| 言語 | en | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| 著者 |
池本, 周平
× 池本, 周平
WEKO
30354
× Takahara, Kazuma× Kumi, Taiki× Hosoda, Koh |
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| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | Neural networks have been widely used to model nonlinear systems that are difficult to formulate. Thus far, because neural networks are a radically different approach to mathematical modeling, control theory has not been applied to them, even if they approximate the nonlinear state equation of a control object. In this research, we propose a new approach—i.e., neural model extraction, that enables model-based control for a feed-forward neural network trained for a nonlinear state equation. Specifically, we propose a method for extracting the linear state equations that are equivalent to the neural network corresponding to given input vectors. We conducted simple simulations of a two degrees-of-freedom planar manipulator to verify how the proposed method enables model-based control on neural network forward models. Through simulations, where different settings of the manipulator’s state observation are assumed, we successfully confirm the validity of the proposed method. | |||||||||||||
| 言語 | en | |||||||||||||
| 書誌情報 |
en : SN Computer Science 巻 2, p. 54-1-54-14, 発行日 2021-01-23 |
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| 出版社 | ||||||||||||||
| 出版者 | Springer | |||||||||||||
| DOI | ||||||||||||||
| 関連タイプ | isVersionOf | |||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.1007/s42979-021-00456-4 | |||||||||||||
| 日本十進分類法 | ||||||||||||||
| 主題Scheme | NDC | |||||||||||||
| 主題 | 501 | |||||||||||||
| ISSN | ||||||||||||||
| 収録物識別子タイプ | EISSN | |||||||||||||
| 収録物識別子 | 2661-8907 | |||||||||||||
| 著作権関連情報 | ||||||||||||||
| 権利情報 | Copyright (c) The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. part of Springer Nature 2021 | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Neural network | |||||||||||||
| キーワード | ||||||||||||||
| 主題Scheme | Other | |||||||||||||
| 主題 | Model based control | |||||||||||||
| 出版タイプ | ||||||||||||||
| 出版タイプ | AM | |||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||
| 査読の有無 | ||||||||||||||
| 値 | yes | |||||||||||||
| 研究者情報 | ||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/100001226_ja.html | |||||||||||||
| 論文ID（連携） | ||||||||||||||
| 値 | 10362487 | |||||||||||||
| 連携ID | ||||||||||||||
| 値 | 8615 | |||||||||||||
