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
- 학술저널
- 저자정보
- 발행연도
- 2020.8
- 수록면
- 545 - 553 (9page)
이용수
초록· 키워드
오류제보하기
Rainfall-Runoff modeling plays a crucial role in various aspects of water resource management. It helps significantly in resolving the issues related to flood control, protection of agricultural lands, etc. Various Machine learning and statistical-based algorithms have been used for this purpose. These techniques resulted in outcomes with an acceptable rate of success. One of the pertinent machine learning algorithms namely Adaptive Neuro Fuzzy Inference System (ANFIS) has been reported to be a very effective tool for the purpose. However, the computational complexity of ANFIS is a major hindrance in its application. In this paper, we resolved this problem of ANFIS by incorporating one of the evolutionary algorithms known as Particle Swarm Optimization (PSO) which was used in estimating the parameters pertaining to ANFIS. The results of the modified ANFIS were found to be satisfactory. The performance of this modified ANFIS is then compared with conventional ANFIS and another popular statistical modeling technique namely ARIMA model with respect to the forecasting of runoff. In the present investigation, it was found that proposed PSO-ANFIS performed better than ARIMA and conventional ANFIS with respect to the prediction accuracy of runoff.
목차
ABSTRACT
1. Introduction
2. Models Used
3. Methodology
4. Results
5. Discussions
4. Conclusion
References
참고문헌 (40)
참고문헌 신청
Wang WC, Chau KW, Xu DM, Chen XY. Improving forecasting accuracy of annual runoff time series using ARIMA based on eemd decomposition. Water Resour. Manag. 2015:29:2655-2675.
Mislan M, Haviluddim H, Hardwinarto S, Soeparto S, Aipassa M. Rainfall monthly prediction based on artificial neural network: A case study in tenggarong station, east kalimantan-indonesia. Procedia Comput. Sci. 2015;59:142-151.
Reshma T, Reddy KV, Pratap D, Agilan V. Parameters optimization using Fuzzy rule based multi-objective genetic algorithm for an event based rainfall-runoff model. Water Resour. Manag. 2018;32:1501-1516.
Tayfur G, Brocca L. Fuzzy logic for rainfall-runoff modelling considering soil moisture. Water Resour. Manag. 2015;29:3519-3533.
Akgun, OB, Kentel E. Estimation of streamflow using Takagi-Sugeno fuzzy rule-based model. EPiC Series in Eng. 2018;3:18-25.
Mislan M, Haviluddim H, Hardwinarto S, Soeparto S, Aipassa M. Rainfall monthly prediction based on artificial neural network: A case study in tenggarong station, east kalimantan-indonesia. Procedia Comput. Sci. 2015;59:142-151.
Reshma T, Reddy KV, Pratap D, Agilan V. Parameters optimization using Fuzzy rule based multi-objective genetic algorithm for an event based rainfall-runoff model. Water Resour. Manag. 2018;32:1501-1516.
Tayfur G, Brocca L. Fuzzy logic for rainfall-runoff modelling considering soil moisture. Water Resour. Manag. 2015;29:3519-3533.
Akgun, OB, Kentel E. Estimation of streamflow using Takagi-Sugeno fuzzy rule-based model. EPiC Series in Eng. 2018;3:18-25.
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A neuro-fuzzy approach to predict the shear contribution of end-anchored FRP U-jackets
Computers and Concrete, An International Journal
2020 .01
-
Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms
International Journal of Concrete Structures and Materials
2019 .02
-
VOCs 오염방지 시스템의 상태 판단 및 예측을 위한 ANFIS 기반 알고리즘 연구
한국에너지기후변화학회 학술대회
2023 .05
-
ANFIS 기반 센서정보를 사용한 가전기기 출력 추정 시스템
대한전자공학회 학술대회
2015 .06
-
An Optimal Fuzzy Neural Network Prediction Model for Student Performance Prediction in Online Education
IEIE Transactions on Smart Processing & Computing
2024 .10
-
ANFIS를 활용한 소옥천 유역의 수문자료 결측 보완에 관한 연구
대한토목학회 학술대회
2020 .10
-
ANFIS를 활용한 댐 유입량 예측기법 개발 및 평가
대한토목학회 학술대회
2017 .10
-
태양광 시스템에서의 ANFIS기반 납축전지 SOC 추정
제어로봇시스템학회 국내학술대회 논문집
2018 .05
-
Analyzing behavior of circular concrete-filled steel tube column using improved fuzzy models
Steel and Composite Structures, An International Journal
2022 .06
-
ANFIS를 이용한 중공 슬래브의 전단강도 산정 연구
한국콘크리트학회 학술대회 논문집
2018 .05
-
뉴로-퍼지 시스템을 이용한 프리텐션 콘크리트 부재의 전달길이 예측
콘크리트학회 논문집
2016 .12
-
Computation of daily solar radiation using adaptive neuro-fuzzy inference system in Illinois
한국수자원학회 학술발표회
2015 .01
-
Application of Adaptive Neuro-Fuzzy Inference System for Evaluating Compressive Strength of Concrete
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2021 .06
-
Intelligent fuzzy inference system approach for modeling of debonding strength in FRP retrofitted masonry elements
Structural engineering and mechanics : An international journal
2017 .01
-
ANFIS를 이용한 외부 및 코너 철근콘크리트 기둥의 유효압축강도 평가
한국콘크리트학회 학술대회 논문집
2015 .10
-
ANFIS를 이용한 철근콘크리트 부재 보강철근의 부착강도 평가
대한건축학회 논문집 - 구조계
2016 .09
-
ANFIS를 활용한 UHPC 휨부재의 전단강도 평가
대한건축학회연합논문집
2018 .01
-
적응형뉴로퍼지시스템을 이용한 인코넬718 밀링가공시 표면상태감시
한국생산제조학회지
2017 .12
-
Soft computing techniques in prediction Cr(VI) removal efficiency of polymer inclusion membranes
Environmental Engineering Research
2020 .06
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2020-539-000378778