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デジタル記事
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- 要約等An artificial neural network model with three-layer structure was applied to estimate chlorophyll a concentration in a lake located in Tottori Prefecture, Japan. First, input variables, which resulted in high calibration accuracy, were searched to examine the optimal network structure. The calibration accuracy was highest when input variables were set to TN, TP, DO, water temperature, solar radiation, air temperature, wind velocity, and Wedderburn n...... This result means that the model incorporated the relationship between chlorophyll a concentration and the meteorological, hydraulic, and aquatic factors into the network s...
- 関連情報Journal of the Faculty of Agriculture, Kyushu University || 52(2) || p405-409 九州大学大学院農学研究院紀要 || 52(2) || p405-409 http://www.agr.kyushu-u.ac.jp/index.html
- 出版者（掲載誌）Faculty of Agriculture, Kyushu University
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