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

Nuratiah Zaini, Marlinda Abdul Malek, Marina Yusoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationI4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages370-374
Number of pages5
ISBN (Electronic)9781479979523
DOIs
Publication statusPublished - 24 Aug 2015
Event2nd International Conference on Computer, Communications, and Control Technology, I4CT 2015 - Kuching, Sarawak, Malaysia
Duration: 21 Apr 201523 Apr 2015

Publication series

NameI4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding

Other

Other2nd International Conference on Computer, Communications, and Control Technology, I4CT 2015
CountryMalaysia
CityKuching, Sarawak
Period21/04/1523/04/15

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Computer Science Applications
  • Software

Cite this

Zaini, N., Abdul Malek, M., & Yusoff, M. (2015). Application of computational intelligence methods in modelling river flow prediction: A review. In I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding (pp. 370-374). [7219600] (I4CT 2015 - 2015 2nd International Conference on Computer, Communications, and Control Technology, Art Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/I4CT.2015.7219600