Journal of Information Technology and Computer Science
Vol. 2 No. 2: November 2017

Rainfall Forecasting Using Backpropagation Neural Network

Andreas Nugroho Sihananto (Faculty of Computer Science, Universitas Brawijaya)
Wayan Firdaus Mahmudy (Universitas Brawijaya)

Article Info

Publish Date
05 Nov 2017

Abstract

Rainfall already became vital observation object because it affects society life both in rural areas or urban areas. Because parameters to predict rainfall rates is very complex, using physics based model that need many parameters is not a good choice. Using alternative approach like time-series based model is a good alternative. One of the algorithm that widely used to predict future events is Neural Network Backpropagation. On this research we will use Nguyen-Widrow method to initialize weight of Neural Network to reduce training time. The lowest MSE achieved is {0,02815;  0,01686; 0,01934; 0,03196} by using 50 maximum epoch and 3 neurons on hidden layer.

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Journal Info
Journal of Information Technology and Computer Science
Website

Abbrev

jitecs

Publisher

Universitas Brawijaya

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

The Journal of Information Technology and Computer Science (JITeCS) is a peer-reviewed open access journal published by Faculty of Computer Science, Universitas Brawijaya (UB), Indonesia. The journal is an archival journal serving the scientist and engineer involved in all aspects of information ...