Prediction of floods using improved PCA with one-dimensional convolutional neural network

Prediction of floods using improved PCA with one-dimensional convolutional neural network

Forecasting floods have always been a difficult task due to the complexity of the available data. Machine learning techniques have been widely used to predict floods based on precipitation, humidity, temperature, water velocity, and level variables. However, most prior studies have examined the mont...

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Podrobná bibliografie
Hlavní autoři: Tegil J. John, R. Nagaraj
Médium: Článek
Jazyk:English
Vydáno: KeAi Communications Co., Ltd. 2023-01-01
Edice:International Journal of Intelligent Networks
Témata:
Convolutional neural network
Flood prediction
Principal component analysis
Rainfall
On-line přístup:http://www.sciencedirect.com/science/article/pii/S2666603023000131

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