Implementasi Jaringan Syaraf Tiruan Recurrent Dengan Metode Pembelajaran Gradient Descent Adaptive Learning Rate Untuk Pendugaan Curah Hujan Berdasarkan Peubah Enso

Implementasi Jaringan Syaraf Tiruan Recurrent Dengan Metode Pembelajaran Gradient Descent Adaptive Learning Rate Untuk Pendugaan Curah Hujan Berdasarkan Peubah Enso

The use of technology of technology Artificial Neural Network (ANN) in prediction of rainfall can be done using the learning approach. ANN prediction accuracy measured by the coefficient of determination (R2) and Root Mean Square Error (RMSE).This research employ a recurrent optimized heuristic Arti...

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Bibliographic Details
Main Authors: Afan Galih Salman, Yen Lina Prasetio
Format: Article
Language:English
Published: Bina Nusantara University 2010-12-01
Series:ComTech
Subjects:
Artificial Neural Network (ANN) Recurrent Elman, ENSO, coefficient of determination (R2), Root Mean Square Error (RMSE), Gradient Descent Adaptive Learning Rate.
Online Access:https://journal.binus.ac.id/index.php/comtech/article/view/2384

Internet

https://journal.binus.ac.id/index.php/comtech/article/view/2384

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