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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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/71842 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |