Art

J-GLOBAL ID：200902119492810036   Reference number：01A0491321

Construction of COD Simulation Model for Activated Sludge Process by Recursive Fuzzy Neural Network.

再帰ファジィニューラルネットワークによる活性汚泥法のCODシミュレーションモデルの構築

Author (4)： TOMIDA S (Nagoya Univ., Nagoya, JPN) ,  HANAI T (Nagoya Univ., Nagoya, JPN) ,  HONDA H (Nagoya Univ., Nagoya, JPN) ,  KOBAYASHI T (Nagoya Univ., Nagoya, JPN)
Material： Journal of Chemical Engineering of Japan  (J Chem Eng Jpn)
Volume： 34  Issue： 3  Page： 369-375  Publication year： Mar. 2001 
JST Material Number： S0629A  ISSN： 0021-9592  CODEN： JCEJAQ  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *waste water treatment ,...
Semi thesaurus term： *activated sludge process

   To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=01A0491321&from=J-GLOBAL&jstjournalNo=S0629A") }}

JST classification (1)： Biological treatment of sewage and wastewater  (SC03060H)

Reference (14)：

• Adachi, S.; Seigyo no tame no Sisutemu Doutei, p. 115-119, Tokyo Denki Daigaku Shuppan, Tokyo, Japan (1996) (in Japanese)
• Cheng, C.Y. and I. Ribarova; “Activated Sludge System Modelling and Simulations for Improving the Effluent Water Quality,” Water Sci. Tech., 39, 93-98 (1999)
• Dongen, G.V. and L. Geuens; “Multivariate Time Series Analysis for Design and Operation of a Biological Wastewater Treatment Plant,” Water Research, 32, 691-700 (1998)
• Furumai, H., A.A. Kazmi, M. Fujita, Y. Furuya and K. Sasaki; “Modeling Long Term Nutrient Removal in a Sequencing Batch Reactor,” Water Research, 33, 2708-2714 (1999)
• Hanai, T., A. Katayama, H. Honda and T. Kobayashi; “Automatic Fuzzy Modeling for Ginjo Sake Brewing Process Using Fuzzy Neural Networks,” J. Chem. Eng. Japan, 30, 94-100 (1997)

Terms in the title (5)： ファジィニューラルネットワーク ,  活性汚泥法 ,  COD ,  シミュレーションモデル ,  構築