Long Short-Term Memory Network versus Support Vector Machine for Flood Prediction
<p id="p1">Malaysia is prone to flood disasters, which are considered the most hazardous natural disasters. This study compares the use of Long Short Term Memory (LSTM) networks and Support Vector Machines (SVM) in predicting future flash floods. Additionally, this study examines the effect of using...
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| Main Authors: | , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2024
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| Subjects: | |
| Online Access: | https://www.intechopen.com/chapters/1149386 |
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