Implementasi Jaringan Syaraf Tiruan Recurrent Menggunakan Gradient Descent Adaptive Learning Rate and Momentum Untuk Pendugaan Curah Hujan

Implementasi Jaringan Syaraf Tiruan Recurrent Menggunakan Gradient Descent Adaptive Learning Rate and Momentum Untuk Pendugaan Curah Hujan

The artificial neural network (ANN) technology in rainfall prediction can be done using the learning approach. The ANN prediction accuracy is measured by the determination coefficient (R2) and root mean square error (RMSE). This research implements Elman’s Recurrent ANN which is heuristically optimi...

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Bibliographic Details
Main Authors: Afan Galih Salman, Yen Lina Prasetio
Format: Article
Language:English
Published: Bina Nusantara University 2011-06-01
Series:ComTech
Subjects:
artificial neural network, coefficient deteminationi (R2), root mean square error (RMSE), gradient descent adaptive learning rate and momentum, ENSO
Online Access:https://journal.binus.ac.id/index.php/comtech/article/view/2707

Internet

https://journal.binus.ac.id/index.php/comtech/article/view/2707

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