Modeling & simulator design for A.S.P using FNN

FNN을 이용한 활성오니 공정 모델링 및 시뮬레이터 설계

  • 최진혁 (연세대학교 전기공학과) ;
  • 박종진 (연세대학교 전기공학과) ;
  • 남의석 (연세대학교 전기공학과) ;
  • 오성권 (원광대학교 제어계측공학과) ;
  • 우광방 (연세대학교 전기공학과)
  • Published : 1993.10.01

Abstract

In this paper, fuzzy-neural network is proposed to identify the Activated Sludge Process(A.S.P) in sewage treatment such as "IF-THEN" type fuzzy rules and using various learning methods and improved complex method, the performance index of the identified model is improved. The proposed FNN has the neural network structure of which the connection weights have particular meanings for obtaining fuzzy inference rules and for tuning membership functions. And based on the identified model, graphic simulator which can analize nonlinear characteristics of A.S.P and generate control strategy for A.S.P is being developed.developed.

Keywords