Incorporating novel input variable selection method for in the different water basins of Thailand

Incorporating novel input variable selection method for in the different water basins of Thailand

Selecting appropriate input variables for developing a rainfall prediction model is significantly difficult. The present study proposed an innovative framework for input variable selection (IVS) model bootstrapped long short-term recurrent neural network (BTSP-LSTM-RNN) to identify relevant variable...

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Bibliographic Details
Main Authors: Muhammad Waqas, Usa Wannasingha Humphries, Angkool Wangwongchai, Porntip Dechpichai, Rahat Zarin, Phyo Thandar Hlaing
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Alexandria Engineering Journal
Subjects:
Artificial intelligence
Long short-term memory
Bootstrapping
Input features
Support vector regression
Recurrent neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823010347

Internet

http://www.sciencedirect.com/science/article/pii/S1110016823010347

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