| ID | 118680 |
| 著者 |
Sari, Anggraini Puspita
Tokushima University|University of Merdeka Malang
Prasetya, Dwi Arman
University of Merdeka Malang
|
| キーワード | Feed-forward
Backpropagation
Neural network
Wind speed
Wind direction
|
| 資料タイプ |
学術雑誌論文
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| 抄録 | This paper presents the prediction system of wind speed and direction using a feed-forward backpropagation neural network (FFBPNN). The input of the prediction system is wind speed and direction which are numerical data and provided by Automated Meteorological Data Acquisition System (AMeDAS) in Japan. The performances of the proposed system is evaluated based on mean square error (MSE) between predicted and observed data. In this paper, we substantiate the usefulness of the proposed prediction system improving prediction accuracy compared to four prediction models.
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| 掲載誌名 |
Journal of Electrical Engineering, Mechatronic and Computer Science
|
| ISSN | 26144859
26144867
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| 出版者 | University of Merdeka Malang
|
| 巻 | 3
|
| 号 | 1
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| 開始ページ | 1
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| 終了ページ | 10
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| 発行日 | 2020-02
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| 権利情報 | JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. (https://creativecommons.org/licenses/by-nc-sa/4.0/)
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| EDB ID | |
| 出版社版DOI | |
| 出版社版URL | |
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| 言語 |
eng
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| 著者版フラグ |
出版社版
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| 部局 |
理工学系
技術支援部
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