Long Short-Term Memory Network versus Support Vector Machine for Flood Prediction
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 the Synthe...
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| Main Authors: | , , |
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| Format: | Book |
| Language: | en |
| Published: |
IntechOpen
2023
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/12494/1/1149386 http://eprints.uthm.edu.my/12494/ https://www.intechopen.com/chapters/1149386 |
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