Prediksi Data Runtun Waktu Menggunakan Jaringan Syaraf Tiruan
Abstract: This 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.
Penulis: Agung Mubyarto
Kode Jurnal: jptindustridd090069
