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

International Journal of artificial intelligence research

View Publication Info
 
 
Field Value
 
Title Application Of Backpropagation Neural Networks In Predicting Rainfall Data In Ambon City
 
Creator Lesnussa, Yopi Andry
Mustamu, C. G.
Kondo Lembang, F.
Talakua, M. W.
 
Subject Artificial Intelligence
Artificial Neural Networks; Backpropagation; Rainfall prediction
 
Description 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.
 
Publisher STMIK Dharma Wacana
 
Contributor
 
Date 2018-08-03
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijair.id/index.php/ijair/article/view/59
10.29099/ijair.v2i2.59
 
Source International Journal of Artificial Intelligence Research; Vol 2, No 2 (2018): December; 41 - 50
2579-7298
10.29099/ijair.v2i2
 
Language eng
 
Relation http://ijair.id/index.php/ijair/article/view/59/pdf
 
Rights Copyright (c) 2018 International Journal of Artificial Intelligence Research
https://creativecommons.org/licenses/by-sa/4.0
 

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