Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Miyaji, Hideyuki"'
Autor:
Kozukue, Wakae, Miyaji, Hideyuki
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 39:1-4
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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
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::0b84accdf9cf5fdf490260f262f4ec6c
https://kait.repo.nii.ac.jp/records/1120
https://kait.repo.nii.ac.jp/records/1120
Autor:
Kozukue, Wakae, Miyaji, Hideyuki
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 37:1-5
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In this paper we carried out the simulation for controlling the resonance frequency of a Helmholtz resonator, which is used for the reduction of noise. The resonance frequency is designed to the desired value by PID control of th
In this paper we carried out the simulation for controlling the resonance frequency of a Helmholtz resonator, which is used for the reduction of noise. The resonance frequency is designed to the desired value by PID control of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::b98772914c82367a80a3d3f065e4b800
https://kait.repo.nii.ac.jp/records/1095
https://kait.repo.nii.ac.jp/records/1095
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 36:15-18
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In a coupled structural-acoustic system which has a box structure and interior air the position of a defect included in the structure is identified by using the frequency response of sound pressure level in the interior sound fie
In a coupled structural-acoustic system which has a box structure and interior air the position of a defect included in the structure is identified by using the frequency response of sound pressure level in the interior sound fie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::97d7f99ad0cd6ecff03255bba2b80489
https://kait.repo.nii.ac.jp/records/1076
https://kait.repo.nii.ac.jp/records/1076
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 30:1-4
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Reduction analysis of noise such as "booming noise" of a vehicle cabin by Helmholtz resonator is carried out by using the Finite Element Method (FEM). As the frequency response of the sound pressure at a passenger's ear position
Reduction analysis of noise such as "booming noise" of a vehicle cabin by Helmholtz resonator is carried out by using the Finite Element Method (FEM). As the frequency response of the sound pressure at a passenger's ear position
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::c07f2fb888f8243b9669356d8d6f3be4
https://kait.repo.nii.ac.jp/records/994
https://kait.repo.nii.ac.jp/records/994
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 26:1-4
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The Learning Vector Quantization (LVQ) neural network is applied to the defect identification problem for structures, which is important when constructing the mathematical model of structures. In this study the eigenmodes of a pl
The Learning Vector Quantization (LVQ) neural network is applied to the defect identification problem for structures, which is important when constructing the mathematical model of structures. In this study the eigenmodes of a pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::4c39027885c647f66ae52ee1d3d6788f
https://kait.repo.nii.ac.jp/records/928
https://kait.repo.nii.ac.jp/records/928
Autor:
Kozukue, Wakae, Miyaji, Hideyuki
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 25:1-6
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Holographic neural network, which is new algorithm of neural network, is applied to the control of a vehicle suspension. For the simplified suspension model, using the feedback gain obtained from the optimal control theory, the e
Holographic neural network, which is new algorithm of neural network, is applied to the control of a vehicle suspension. For the simplified suspension model, using the feedback gain obtained from the optimal control theory, the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::228e57727eec2abf1e6d2f7282a8d30e
https://kait.repo.nii.ac.jp/records/901
https://kait.repo.nii.ac.jp/records/901
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 24:1-5
application/pdf
The combined method of Genetic Algorithm (GA) and neural network (NN) is applied to the defect identification problem for structures. As for NN, the most frequently used multilayer network and backpropagation algorithm are adopte
The combined method of Genetic Algorithm (GA) and neural network (NN) is applied to the defect identification problem for structures. As for NN, the most frequently used multilayer network and backpropagation algorithm are adopte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::2e31405ba56caedfda96030ecda43c3d
https://kait.repo.nii.ac.jp/records/871
https://kait.repo.nii.ac.jp/records/871
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 23:1-4
application/pdf
In this paper we try to apply a neural network algorithm to human speech recognition. The numrical experiment is carried out to recognize vowels using time domain waveform and frequency domain waveform as training data. As a resu
In this paper we try to apply a neural network algorithm to human speech recognition. The numrical experiment is carried out to recognize vowels using time domain waveform and frequency domain waveform as training data. As a resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::03a547323162d7edc4b5bb5c8c2e385f
https://kait.repo.nii.ac.jp/records/846
https://kait.repo.nii.ac.jp/records/846
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 22:1-4
application/pdf
The application of a holographic neural network (HNN), which is new algorithm of neural network (NN), to inverse problems such as a structural identification problem is investigated. For a simple beam model the training of NN is
The application of a holographic neural network (HNN), which is new algorithm of neural network (NN), to inverse problems such as a structural identification problem is investigated. For a simple beam model the training of NN is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::c38703b002cd63a5fafebd12b3f45d80
https://kait.repo.nii.ac.jp/records/827
https://kait.repo.nii.ac.jp/records/827
Autor:
Yamamoto, Keijiro, Miyaji, Hideyuki
Publikováno v:
神奈川工科大学研究報告.B,理工学編. 21:43-46
application/pdf
機械工学
機械工学
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::156997ec1d40ff217b8617a7e288d8b8
https://kait.repo.nii.ac.jp/records/782
https://kait.repo.nii.ac.jp/records/782