Prediction of Occurrence of Heterocapsa circularisquama Red Tide by Means of Fuzzy Neural Network
スポンサーリンク
概要
- 論文の詳細を見る
Prediction model for red tide occurrence by Heterocapsa circularisquama in Ago Bay (Mie Prefecture) was constructed by means of fuzzy neural network (FNN) or multiple regression analysis (MRA). Six-year-data sets on the occurrence of H. circularisquama in the observation point, Tategami-ura, and the hydrographic parameters of seawater and the wind condition of the bay area were used. Based on the collected data, 24 kinds of available variables were prepared for modeling by parameter increasing method (PIM). The constructed FNN model could predict the occurrence in each year, while prediction by MRA never succeeded; the recognition index for the threshold value of 0.5 was 70% and 0% in the FNN and MRA models, respectively. When the three variables, the maximum strength of south wind in the last week, the 2 weeks ago salinity, and the 2 weeks ago temperature difference between at the surface and at the 5-m depth of seawater, were selected, the occurrence of red tide could be predicted more correctly, and the recognition index of the FNN model increased to 80%. When the threshold value decreased to 0.1, 100% recognition index was obtained in both models. However, 38 false-positive answers were obtained in the MRA model, whereas that of FNN model was only 5. From the constructed FNN model, IF-THEN rules were extracted linguistically as follows; if the big south wind flowed when the salinity was high and poor mixing in vertical direction occurred, the red tide will occur with high risk. The IF-THEN rule corresponded well to the empirical knowledge.
- 社団法人 化学工学会の論文
著者
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Honda Hiroyuki
Department of Biotechnology, School of Engineering, Nagoya University
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Nagamori Eiji
Department Of Biotechnology School Of Engineering Nagoya University
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Nagamori Eiji
Toyota Central R & D Labs. Inc.
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Nagamori E
Osaka Univ. Osaka Jpn
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Nagamori Eiji
Biotechnology Laboratory Toyota Central R&d Labs Inc.
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花井 泰三
Department Of Biotechnology School Of Engineering Nagoya University
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KOBAYASHI Takeshi
Department of Electrical Engineering, Faculty of Engineering Science, Osaka University
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Mitsudomi Tetsuya
愛知県がんセンター中央病院 胸部外科
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Nagamori Eiji
Toyota Central R&d Labs. Inc. 41-1 Yokomichi Nagakute Aichi 480-1192 Jpn
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HANAI Taizo
Department of Biochemistry and Engineering, Tohoku University
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Honda Hiroyuki
Department Of Bioengineering Tokyo Institute Of Technology
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Kobayashi T
Graduate School Of Marine Science And Technology Tokyo University Of Marine Science And Technology
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Hanai Taizo
Department Of Biochemistry And Engineering Tohoku University
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Muramatsu Takahiro
Fisheries Research Institute Of Mie
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Kobayashi Takeshi
Department Of Biological Chemistry College Of Bioscience And Biotechnology Chubu University
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Nakanishi Katsuyuki
Fisheries Research Institute Of Mie
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HATA Naotsugu
Fisheries Research Institute of Mie
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MASUDA Takeshi
Fisheries Research Institute of Mie
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Honda Hiroyuki
Department Of Anesthesia Niigata City General Hospital
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Nagamori Eiji
Department Of Biotechnology Graduate School Of Engineering Osaka University
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