Integration of Fuzzy C-Means and artificial neural network for short-term localized rainfall forecasting in tropical climate

Noor Zuraidin Mohd-Safar, David Ndzi, David Sanders, Hassanuddin Mohamed Noor, Latifah Munirah Kamarudin

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


This paper proposes and analyses the applicability of integrating Fuzzy C-Means (FCM) and artificial neural network (ANN) in rainfall forecasting. The algorithm of ANN and FCM clustering are integrated and applied to forecast short-term localized rainfall in tropical weather. Rainfall forecasting in this paper is divided into state forecast (raining or not raining) and rainfall rate forecast. Various type of back propagation extended network with hidden layers of ANN structured were trained. Training algorithm of Levenberg-Marquardt, Bayesian Regularization and Scaled Conjugate Gradient are used and trained. Transfer function in each neuron uses linear, logistic sigmoid and hyperbolic tangent sigmoid. Initial statistical analysis of weather parameter, data pre-processing approach and FCM clustering method were used to organize input data for the ANN forecast model. Input parameters such as atmospheric pressure, temperature, dew point, humidity and wind speed have been used. One to six hour predicted rainfall forecast are compared and analyzed. The result indicates that the integrated of FCM-ANN forecast model yield 80% for 1 h forecast.
Original languageEnglish
Title of host publicationProceedings of SAI Intelligent Systems Conference
Subtitle of host publicationIntelligent Systems and Applications: Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2016
EditorsYaxin Bi, Supriya Kapoor, Rahul Bhatia
Number of pages24
ISBN (Electronic)978-3319692661
ISBN (Print)978-3319692654, 978-3319887456
Publication statusPublished - 8 Jan 2018

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


  • Fuzzy C-means
  • FCM
  • ANN
  • soft computing
  • neural network


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