ANALYSIS AND OPTIMIZATION OF DEEP NEURAL NETWORK VARIANTS FOR PREDICTING RAINFALL DATA BASED ON TIME-SERIES MODELS

ANALYSIS AND OPTIMIZATION OF DEEP NEURAL NETWORK VARIANTS FOR PREDICTING RAINFALL DATA BASED ON TIME-SERIES MODELS

Reliable and fast forecasting of rainfall intensity can provide significant benefits in climate forecasting research. In this Thesis, the forecasting model is built based on the Deep Neural Network (DNN) algorithm, which has less computational cost compared with Numerical Weather Prediction (NWP) mo...

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Bibliographic Details
Main Author:	Kurniawan Dairo Kette, Efraim
Format:	Theses
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/71842
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

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