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ニューラルネットワークを用いたアメダス気象データの類型化の試み
https://doi.org/10.34447/00000959
https://doi.org/10.34447/00000959168ac5e2-4634-4e81-8a8f-385913c050ac
名前 / ファイル | ライセンス | アクション |
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kiyo26_26-33 (1.5 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2022-03-10 | |||||
タイトル | ||||||
言語 | ja | |||||
タイトル | ニューラルネットワークを用いたアメダス気象データの類型化の試み | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Trial of Classification of Visualized Images of AMeDAS data with Deep Neural Network | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題 | AMeDAS | |||||
キーワード | ||||||
主題 | Auto Encoder | |||||
キーワード | ||||||
主題 | Air Temperature | |||||
キーワード | ||||||
主題 | Precipitation | |||||
キーワード | ||||||
主題 | TensorFlow | |||||
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 | departmental bulletin paper | |||||
ID登録 | ||||||
ID登録 | 10.34447/00000959 | |||||
ID登録タイプ | JaLC | |||||
著者 |
飯野, 秋成
× 飯野, 秋成× 廣井, 俊介 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | We investigated how to visualize and categorize hourly temperature and precipitation data nationwide using the past annual meteorological data observed by AMeDAS. First, by imaging the annual meteorological data of AMeDAS meteorological data, the features that can be visually read were organized. Next, based on the idea of a deep neural network, a concrete method for dimensionally compressing the imaged meteorological data using auto encoder was shown. Furthermore, we showed the process of cluster analysis of the results of dimensional compression, visualized the similarity of data between measurement points nationwide, and evaluated its validity. | |||||
書誌情報 |
新潟工科大学研究紀要 en : Bulletin of Niigata Institute of Technology 巻 26, p. 26-33, 発行日 2022-03 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1342-792X | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AN10590360 | |||||
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 | |||||
出版者 | ||||||
出版者 | 新潟工科大学 |