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Pengaruh Korelasi Data pada Peramalan Suhu Udara Menggunakan Backpropagation Neural Network

Zeta - Math Journal

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Title Pengaruh Korelasi Data pada Peramalan Suhu Udara Menggunakan Backpropagation Neural Network
 
Creator Rahmalia, Dinita
Aini, Nur
 
Description Air temperature forecasting is important role in agriculture, flight, trading and so on. The method used for forecasting is Neural Network (NN).  NN works as human neural system. One of NN type used for forecasting is Backpropagation where Backpropagation model is there are hidden layers between input and output. Due to forecasting result depends on data correlation, then this research will explain about the effect of data correlation on air temperature forecasting. To obtain forecasting result, Backpropagation algorithm will be used. Simulations are applied in three dataset with different structures. Based on simulation results, data which have strong correlation can result better forecasting based on smaller Mean Square Error (MSE).
 
Publisher Universitas Islam Madura
 
Date 2018-04-26
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.uim.ac.id/index.php/zeta/article/view/141
10.31102/zeta.2018.4.1.1-6
 
Source Zeta - Math Journal; Vol 4 No 1 (2018): Mei 2018; 1-6
2579-5864
2459-9948
10.31102/zeta.v4i1
 
Language eng
 
Relation https://journal.uim.ac.id/index.php/zeta/article/view/141/101
 
Rights Copyright (c) 2018 Dinita Rahmalia, Nur Aini
http://creativecommons.org/licenses/by-sa/4.0