Application of computational intelligence methods in modelling river flow prediction: A review

Artificial intelligence; Arts computing; Decision making; Evolutionary algorithms; Forecasting; Fuzzy neural networks; Intelligent computing; Neural networks; Rain; Rivers; Stream flow; Support vector machines; Computational intelligence methods; Computational intelligence techniques; Computational...

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Main Authors: Zaini N., Malek M.A., Yusoff M.
Other Authors: 56905328500
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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author Zaini N.
Malek M.A.
Yusoff M.
author2 56905328500
author_facet 56905328500
Zaini N.
Malek M.A.
Yusoff M.
author_sort Zaini N.
building UNITEN Library
collection Institutional Repository
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
continent Asia
country Malaysia
description Artificial intelligence; Arts computing; Decision making; Evolutionary algorithms; Forecasting; Fuzzy neural networks; Intelligent computing; Neural networks; Rain; Rivers; Stream flow; Support vector machines; Computational intelligence methods; Computational intelligence techniques; Computational results; Hydrological cycles; Neural networks , fuzzy logic; Prediction accuracy; River flow models; River flow prediction; Fuzzy logic
format Conference Paper
id my.uniten.dspace-22287
institution Universiti Tenaga Nasional
publishDate 2023
publisher Institute of Electrical and Electronics Engineers Inc.
record_format dspace
spelling my.uniten.dspace-222872023-05-29T14:00:01Z Application of computational intelligence methods in modelling river flow prediction: A review Zaini N. Malek M.A. Yusoff M. 56905328500 55636320055 23391662400 Artificial intelligence; Arts computing; Decision making; Evolutionary algorithms; Forecasting; Fuzzy neural networks; Intelligent computing; Neural networks; Rain; Rivers; Stream flow; Support vector machines; Computational intelligence methods; Computational intelligence techniques; Computational results; Hydrological cycles; Neural networks , fuzzy logic; Prediction accuracy; River flow models; River flow prediction; Fuzzy logic Rainfall and river flow are one of the most difficult elements of hydrological cycle to predict. This is due to tremendous range of variability it displays over a wide range of scale both in terms of space and time. The situation is further aggravated by the fact that rainfall-runoff is also very difficult to measure at scales of interest to hydrology and climatologic. Computational intelligence techniques provide efficient and fast results for modelling non-linear and complex data. Computational intelligence methods which inspired by the capability of learning that derive meaning from unknown relationship provide guidance for a sensible decision making. This advantage creates them adaptable and talented methods for modelling real world problems. This paper is an attempt to present the introduction to computational intelligence methods; applications to river flow modelling and its performance with regards to the parameter and method used. The methods include artificial neural networks, fuzzy logic, evolutionary computation, support vector machine; swarm intelligence and hybrid method are critically compared mainly on computational results and prediction accuracy. � 2015 IEEE. Final 2023-05-29T06:00:01Z 2023-05-29T06:00:01Z 2015 Conference Paper 10.1109/I4CT.2015.7219600 2-s2.0-84944400317 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944400317&doi=10.1109%2fI4CT.2015.7219600&partnerID=40&md5=244cc702665fb3597c320b98b937db66 https://irepository.uniten.edu.my/handle/123456789/22287 7219600 370 374 Institute of Electrical and Electronics Engineers Inc. Scopus
spellingShingle Zaini N.
Malek M.A.
Yusoff M.
Application of computational intelligence methods in modelling river flow prediction: A review
title Application of computational intelligence methods in modelling river flow prediction: A review
title_full Application of computational intelligence methods in modelling river flow prediction: A review
title_fullStr Application of computational intelligence methods in modelling river flow prediction: A review
title_full_unstemmed Application of computational intelligence methods in modelling river flow prediction: A review
title_short Application of computational intelligence methods in modelling river flow prediction: A review
title_sort application of computational intelligence methods in modelling river flow prediction: a review
url_provider http://dspace.uniten.edu.my/