Construction of COD Simulation Model for-Acivated Sludge Process by Fuzzy Neural Network
スポンサーリンク
概要
- 論文の詳細を見る
Fuzzy neural network(FNN)was applied to construct a simulation model for estimating the effluent chemical oxygen demand(COD)value of an activated sludge process in a "U"plant, in which most of process variables were measured once an hour. The constructed FNN model could simulate periodic changes in COD with high accuracy. Comparing the simulation result obtained using the FNN model with that obtained using the multiple regression analysis(MRA)model, it was found that the FNN model had 3.7 times higher accuracy than the MRA model. The FNN models corresponding to each of the four seasons were also constructed. Analyzing the fuzzy rules acquired from the FNN models after learning, the operational characteristic of this plant could be elucidated. Construction of the simulation model for another plant "A", in which process variables were measured once a day, was also carried out. This FNN model also had a relatively high accuracy.
- 社団法人日本生物工学会の論文
- 1999-08-25
著者
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Honda Hiroyuki
Department of Biotechnology, School of Engineering, Nagoya University
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Tomida Shuta
Department Of Biotechnology School Of Engineering Nagoya University
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Tomida Shuta
名古屋大学 工
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Tomida Shuta
Department Of Biotechnology Graduate School Of Engineering Nagoya University
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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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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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UEDA NAOYASU
Department of Biotechnology, Graduate School of Engineering, Nagoya University
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Kobayashi Takeshi
Department Of Biological Chemistry College Of Bioscience And Biotechnology Chubu University
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Ueda Naoyasu
Department Of Biotechnology Graduate School Of Engineering Nagoya University
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Honda Hiroyuki
Department Of Anesthesia Niigata City General Hospital
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