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Identification of nonlinear vibration system by a neural network
http://hdl.handle.net/2297/17055
http://hdl.handle.net/2297/170558fa508a3-7b46-4177-9107-e9032c54179c
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-IWATA-Y-570.pdf (955.8 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2017-10-03 | |||||
| タイトル | ||||||
| タイトル | Identification of nonlinear vibration system by a neural network | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 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 | |||||
| 著者 |
Wang, Anlin
× Wang, Anlin× Sato, Hidenori× Iwata, Yoshio |
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| 提供者所属 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 金沢大学理工研究域機械工学系 | |||||
| 書誌情報 |
JSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing 巻 41, 号 3, p. 570-576, 発行日 1998-09-01 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 1340-8062 | |||||
| NCID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA10898309 | |||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1299/jsmec.41.570 | |||||
| 出版者 | ||||||
| 出版者 | 日本機械学会 = The Japan Society of Mechanical Engineers | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | This paper describes a convenient method of identification of nonlinear vibration system by a neural network using time series data. The neural network with suitable selection of system inputs and outputs are applicable for system identification of nonlinear vibration by learning of response. Learning only time series data of impact response of piecewise linear system, it is possible to predict both forced vibration response and impact response in time domain by the neural network. Also, by learning only time series data of periodic response in coexisting regions of chaotic and periodic response of Duffing system, it is possible to predict both chaotic and periodic response of forced vibration by the network, for given predicting conditions chosen nearby the learned condition. The effectiveness of the method is demonstrated by numerical simulations for piecewise linear system and Duffing system.. | |||||
| 権利 | ||||||
| 権利情報 | Copyright (c) 1998 by The Japan Society of Mechanical Engineers | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
