Garuda Documents : Prediksi Data Runtun Waktu Menggunakan Jaringan Syaraf Tiruan

TitlePrediksi Data Runtun Waktu Menggunakan Jaringan Syaraf Tiruan
Author Order1 of 1
Accreditation
AbstractThis research concerns about application of artificial neural networks (ANN) for predicting time series data. By modifying perceptron’s activation function with linear function, we got linear networks. In order to predict time series data, these linear networks combine with adaptive LMS algorithm. And then we had completed this model with time delay function to accommodate past data in time series. The data that used in the test had varied in frequency and sampling time. Results of the test had shown that the networks work properly to predict the data series.
Publisher NameJenderal Soedirman University
Publish Date2009-02-28
Publish Year2009
DoiDOI: 10.20884/1.dr.2009.5.1.20
Citation
SourceDinamika Rekayasa
Source IssueVol 5, No 1 (2009): Dinamika Rekayasa - Februari 2009
Source Page25-29
Urlhttps://dinarek.unsoed.ac.id/jurnal/index.php/dinarek/article/view/20/18
AuthorAGUNG MUBYARTO, S.T, M.T
File429619.pdf