Development of a real-time control strategy with artificial neural network for automatic control of a continuous-flow sequencing batch reactor

NCUIR > Engineering College > Graduate Institute of Environmental Engineering > journal & Dissertation > Item 987654321/30179

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Title:	Development of a real-time control strategy with artificial neural network for automatic control of a continuous-flow sequencing batch reactor
Authors:	Cho,BC;Liaw,SL;Chang,CN;Yu,RF;Yang,SJ;Chlou,BR
Contributors:	環境工程研究所
Keywords:	ACTIVATED-SLUDGE;TREATMENT-PLANT;REMOVAL;SYSTEM;ORP
Date:	2001
Issue Date:	2010-07-06 16:13:57 (UTC+8)
Publisher:	中央大學
Abstract:	The purpose of this study is to develop a reliable and effective real-time control strategy by integrating artificial neural network (ANN) process models to perform automatic operation of a dynamic continuous-flow SBR system. The ANN process models, inclu
Relation:	WATER SCIENCE AND TECHNOLOGY
Appears in Collections:	[Graduate Institute of Environmental Engineering ] journal & Dissertation

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