Item type |
紀要論文 / Departmental Bulletin Paper(1) |
公開日 |
2020-11-24 |
タイトル |
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タイトル |
ニューラルネットワークを用いたスマートヘルムホルツ共鳴器の共鳴振動数の設計 |
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言語 |
ja |
タイトル |
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タイトル |
Design of Resonance Frequency of Smart Helmholtz Resonator Using Neural Network. |
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言語 |
en |
言語 |
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言語 |
jpn |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Neural Network |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Helmholtz Resonator |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Resonance Frequency |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
PID control |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Acoustics |
キーワード |
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言語 |
en |
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主題Scheme |
Other |
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主題 |
Gain |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
departmental bulletin paper |
ID登録 |
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ID登録 |
10.34411/00001113 |
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ID登録タイプ |
JaLC |
著者 |
小机, わかえ
宮地, 秀征
Kozukue, Wakae
Miyaji, Hideyuki
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抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
In the past paper the authors developed the design method for determining the gains of PID controller of Smart Helmholtz Resonator by using Response Surface Method and optimization analysis. This method is the original method by the authors and the details are described in the authors' papers. There, it was concluded that the desired resonance frequency of the resonator can be obtained quite accurately by using the gains from the analysis. However, it was shown that there is the error due to the optimization analysis from error analysis. When using optimization analysis, accuracy and calculation cost becomes key problems. In order to improve this fact it is needed to develop the more accurate method. In this paper it is proposed to utilize Artificial Neural Network (ANN) to improve the accuracy of the obtained resonance frequency. From the numerical simulation it is confirmed that the mapping between the integral gain KI and the resonance frequency can be constructed very well by using Holographic Neural Network (HNN) and the accuracy of the testing is improved by selecting the input and output of the HNN properly. |
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言語 |
en |
書誌情報 |
神奈川工科大学研究報告.B,理工学編
巻 39,
p. 1-4,
発行日 2015-03-20
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出版者 |
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出版者 |
神奈川工科大学 |
ISSN |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
21882878 |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA12669200 |
フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
著者版フラグ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |