Flood Prediction using Deep Spiking Neural Network
The aim of this article is to analyse the Deep Spiking Neural Network (DSNN) performance in flood prediction. The DSNN model has been trained and evaluated with 30 years of data obtained from the Drainage and Irrigation (DID) department of Sarawak from 1989 to 2019. The model's effectiveness is...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
NAUN
2022
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/39042/2/Flood%20Prediction%20-%20Copy.pdf http://ir.unimas.my/id/eprint/39042/ https://npublications.com/journals/articles.php?id=453 |
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