International Journal of Artificial Intelligence Research
Vol 2, No 2 (2018): December 2018

Application Of Backpropagation Neural Networks In Predicting Rainfall Data In Ambon City

Yopi Andry Lesnussa (Jurusan Matematika Fakultas MIPA Universitas Pattimura)
C. G. Mustamu (Jurusan Matematika FMIPA Universitas Pattimura)
F. Kondo Lembang (Jurusan Matematika FMIPA Universitas Pattimura)
M. W. Talakua (Jurusan Matematika FMIPA Universitas Pattimura)

Article Info

Publish Date
03 Aug 2018

Abstract

The Artificial Neural Networks is a process of information system on certain traits which as representatives of the human neural networks. The Artificial Neural Networks can be applied in every area of human life, one of them is environment especially about prediction of climate or weather. In this research, the artificial neural network is used to predict the rainfall with Backpropagation method and using MATLAB software. The other meteorology parameters used to predict the rainfall are air temperature, air velocity and air pressure. The result showed less accuracy level is 80% by using alpha 0,7, iteration number (epoch) 10000 and MSE value = 0,0218. Therefore, the result of rainfall prediction system is accurate.

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Journal Info
International Journal of Artificial Intelligence Research
Website

Abbrev

IJAIR

Publisher

STMIK Dharma Wacana

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) ...