Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow

Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow

Abstract In this research, novel innovative DDN layer network structures by hybridizing double-LSTM model with an addition layer (+) (i.e., 2LSTM and 2LSTM + layer network models) are developed purposefully to enhance prediction performance of the mean monthly Maroon River streamflow (MRSF m ) in Ir...

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Bibliographic Details
Main Authors: Amin Gharehbaghi, Redvan Ghasemlounia, Shahaboddin Daneshvar, Farshad Ahmadi
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Applied Water Science
Subjects:
LSTM model
GRU model
Novel hybrid 2LSTM + layer network model
TLP parameter
Maroon River streamflow
Online Access:https://doi.org/10.1007/s13201-025-02535-w
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https://doi.org/10.1007/s13201-025-02535-w

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