Precipitation modeling in Northeastern Bangladesh–India transboundary flood regions using bi-metaheuristic-optimized NMF-neural network

Abstract Two fundamental questions in rainfall modeling using Artificial Neural Networks (ANN) are: (1) how to best handle highly nonlinear, noisy, short-duration rainfall data, and (2) how to locate a solution to the optimization issue of ANN, particularly in formulating the optimum weights and bia...

Полное описание

Библиографические подробности

Главные авторы:	Shuvendu Pal Shuvo, Shirshendu Pal Shibazee, Chaitee Das, Ankita Bhowmick Oishi
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2025-10-01
Серии:	Scientific Reports
Предметы:	Rainfall Metaheuristics optimization Hybridization Non-negative matrix factorization (NMF) Artificial neural network
Online-ссылка:	https://doi.org/10.1038/s41598-025-22135-7
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