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A Study on the ORP Modeling in SBR Process for Nitrogen Removal: Polynomial Neural Network Is Employed  

김동원 (고려대학교 공과대학 전기공학과)
박영환 (충주대학교 정보제어공학과)
박귀태 (고려대학교 공과대학 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.53, no.4, 2004 , pp. 221-225 More about this Journal
Abstract
This paper shows the application of artificial intelligence technique such as polynomial neural network in modeling and identification of sequencing batch reactor (SBR). A wastewater treatment process for nitrogen removal in the SBR is presented. Simulation results have shown that the nonlinear process can be modeled reasonably well by the Present scheme which is simple but efficient.
Keywords
sequencing batch reactor; wastewater treatment; nitrogen removal; modeling; identification; PNN;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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