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J-GLOBAL ID：200902296280016053 整理番号：07A1120594

日本鳥取県湖山池のクロロフィルa濃度の評価に対する人工的神経ネットワークモデルの適用

Application of Artificial Neural Network Models to the Estimation of Chlorophyll a Concentration in Lake Koyama, Tottori Prefecture, Japan

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著者 (5件)： , , , ,
資料名：
巻： 52 号： 2 ページ： 405-409 発行年： 2007年10月29日
JST資料番号： S0238B ISSN： 0023-6152 資料種別：逐次刊行物 (A)
記事区分：原著論文発行国：日本 (JPN) 言語：英語 (EN)

三層構造の人工的神経ネットワークモデルを日本の鳥取県湖山池の...

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湖沼汚濁

引用文献 (7件)：

Harada, M. and I. Yoshida 2001 Fluctuation Characteristics of Dissolved Oxygen in Lake Koyama of Tottori Prefecture. Journal of rainwater catchment systems, 10(1): 29-35 (in Japanese with English abstract)
Hiramatsu, K., S. Shikasho and K. Mori 1995 Application of Multi-Layered Perceptron Model to the Estimation of Chlorinity Variations in a Tidal River. Transactions of the Japanese Society of Irrigation, Drainage and Reclamation Engineering, 178: 83-92 (in Japanese with English abstract)
Hiramatsu K., S. Shikasho, K. Mori 1998 The use of genetic algorithm and artificial neural network for the short-term prediction of water-stages in a tidal river. Proceedings of 11th Coongress of Asia and Pacific Division of the International Association for Hydraulic Research (APD-IAHR), Yogyakarta, Sep. 8-10, pp. 587-595
Kondo, T 1997 Nonlinear Steady State Modeling for River Quality by a Neural Network with a Self-Selection Ability of Network Structure. Transactions of the Institute of Systems, Control and Information Engineers, 10(6): 277-286 (in Japanese with English abstract)
Nakasone, H., M. Kaburagi, H. Kuroda and T. Kato 2005 A Study on the Low DO Distribution in the Lake Kasumigaura. Transactions of the Japanese Society of Irrigation, Drainage and Reclamation Engineering, 239: 471-479 (in Japanese with English abstract)

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