Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1999.07g
- /
- Pages.2863-2865
- /
- 1999
Modeling of Ozone Prediction System using Polynomial Neural Network
다항식 신경회로망에 의한 오존농도 예측모델
- Kim, T.H. (Department of electrical Engineering, Pusan National University) ;
-
Kim, S.S.
(Department of electrical Engineering, Pusan National University)
;
-
Lee, J.B.
(Department of Environmental Science, Kangwon National University)
;
-
Kim, Y.K.
(Department of Environmental Engineering, The University of Seoul)
;
-
Kim, S.D.
(School of Electrical and Information Engineering, Myong Ji University)
;
- Kim, I.T. (Department of Environmental Science, Kangwon National University)
- 김태헌 (부산대학교 전기공학과) ;
-
김성신
(부산대학교 전기공학과)
;
-
이종범
(강원대학교 환경학과)
;
-
김신도
(서울시립대학교 환경공학과)
;
-
김인택
(명지대학교 전기정보공학부)
;
- 김용국 (강원대학교 환경학과)
- Published : 1999.07.19
Abstract
In this paper we present the modeling of ozone prediction system using polynomial neural network. The Polynomial Neural Network is a useful tool for data learning, nonlinear function estimation and prediction of dynamic system. The mechanism of ozone concentration is highly complex, nonlinear, nonstationary. The purposed method shows that the prediction to the ozone concentration based upon a polynomial neural network gives us a good performance for ozone prediction with ability of superior data approximation.
Keywords