개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2004.9
- 수록면
- 355 - 362 (8page)
이용수
초록· 키워드
오류제보하기
Black-box model is used to analyze the changes of water quality which obtains data easily. The models development were based on the data obtained from Jan. 1990 to Dec. 1997 and followed the typical procedures of the Box-Jenkins method including identification, estimation. The seasonality of DO and Temperature data to formulate for the SARIMA model is conspicuous and the period of revolution was twelve months. The Multi-layer Perceptron(MLP) neural networks with a single hidden layer are trained to perform one step ahead prediction on water quality data. The prediction ability of SARIMA model, state space model and Neural Network model were tested using the data collected from Jan. 1998 to Oct. 2001. There were good agreements between the model predictions and the field measurements. The performance of the SARIMA model, state space model and Neural Network model were examined through comparisons between the historical and generated monthly dissolved oxygen series. The result reveal that the Neural Network model lead to the improved accuracy.
목차
Synopsis
1. 서론
2. 모델의 이론적 배경
3. 유역의 특성 및 적용자료
4. 모형의 적용 및 예측
5. 결론
6. 참고문헌
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Comparison Studies of Hybrid and Non-hybrid Forecasting Models for Seasonal and Trend Time Series Data
지능정보연구
2013 .03
-
데이터간 의미 분석을 위한 R기반의 데이터 가중치 및 신경망기반의 데이터 예측 모형에 관한 연구
멀티미디어학회논문지
2015 .04
-
Modelling the Leipzig Wind Profile with a (k-ε) model
Wind & structures
2001 .01
-
Model Filled System
한국고분자학회 학술대회 연구논문 초록집
1992 .10
-
Human performance models using neural network
대한인간공학회지
1996 .12
-
The Prediction of Interest Rate Using Artificial Neural Network Models
대한산업공학회 춘계공동학술대회 논문집
1996 .04
-
Online Black-box Model Identification and Output Prediction for Sampled-data Systems
제어로봇시스템학회 국제학술대회 논문집
2014 .10
-
Neural Network Modeling for Software Reliability Prediction from Failure Time Data
Journal of Electrical Engineering and information Science
1999 .08
-
신경망 이론에 의한 링크 통행시간 예측모형의 개발
대한교통학회지
1995 .03
-
DEVELOPMENT OF ARTIFICIAL NEURAL NETWORK MODELS SUPPORTING RESERVOIR OPERATION FOR THE CONTROL OF DOWNSTREAM WATER QUALITY
Water engineering research : international journal of KWRA
2002 .01
-
시계열 자료를 이용한 일반열차 수송수요 예측방법
대한토목학회 학술대회
2014 .10
-
Modeling and Prediction for Chaotic Time Series using Rational Function Neural Network
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2003 .07
-
Learning Capability of T-model Neural Network
JTC-CSCC : Joint Technical Conference on Circuits Systems, Computers and Communications
1991 .01
-
Formulation of the Neural Network for Implicit Constitutive Model (Ⅰ) : Application to Implicit Vioscoplastic Model
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2009 .09
-
인공신경회로망을 이용한 압밀특성 예측
한국지반환경공학회 학술발표회논문집
2004 .09
-
Modelling of dissolved oxygen (DO) in a reservoir using artificial neural networks: Amir Kabir Reservoir, Iran
Advances in environmental research
2016 .01
-
전이함수 모형에 의한 용존산소 예측 모형
대한환경공학회 학술발표논문집
1999 .04
-
Comparison of Machine Learning Models for Solar Energy Prediction
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2019 .06
이 논문의 저자 정보
이 논문과 함께 이용한 논문
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2009-532-017812026