MamGA: a deep neural network architecture for dual-channel parallel monthly runoff prediction based on mamba and depth-gated attention layer

•The first application of the Mamba architecture is to predict monthly runoff.•Development of a depth-gated attention layer to enhance bidirectional information capture.•Implement coding and decoding systems to capture temporal dynamics and enrich features.•Construction of a dual-channel parallel ar...

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Veröffentlicht in:	Journal of hydrology (Amsterdam) Jg. 663; S. 134304
Hauptverfasser:	Wang, Wen-chuan, Tian, Wei-can, Ren, Ming-lei, Xu, Dong-mei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2025
Schlagworte:	Attention mechanism Coding and decoding system Deep neural network Mamba Runoff prediction Attention mechanism Mamba Deep neural network Runoff prediction Coding and decoding system
ISSN:	0022-1694
Online-Zugang:	Volltext
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