• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid
Title A Study on the ORP Modeling in SBR Process for Nitrogen Removal: Polynomial Neural Network Is Employed
Authors 김동원 ; 박영환 ; 박귀태
Page pp.221-225
ISSN 1975-8359
Keywords sequencing batch reactor ; wastewater treatment ; nitrogen removal ; modeling ; identification ; PNN
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.