Radial Basis Function (RBF) Neural Network: Effect of Hidden Neuron Number, Training Data Size, and Input Variables on Rainfall Intensity Forecasting

Chai, S.S. and Wong, W.K. and Goh, K.L. and Wang, H.H. and Wang, Y.C. (2019) Radial Basis Function (RBF) Neural Network: Effect of Hidden Neuron Number, Training Data Size, and Input Variables on Rainfall Intensity Forecasting. International Journal on Advanced Science Engineering and Information Technology, 9 (6). pp. 1921-1926. ISSN 2088-5334

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Official URL: http://ijaseit.insightsociety.org/
Item Type: Article
Additional Information: Information, Communication and Creative Technology
Uncontrolled Keywords: rainfall; radial basis function; intensity; forecasting; meteorology data; unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, Universiti Malaysia Sarawak
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 06 Feb 2020 02:43
Last Modified: 29 Sep 2022 02:20
URI: http://ir.unimas.my/id/eprint/28914

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