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A Hybrid Model Based on Variational Mode Decomposition and Gradient Boosting Regression Tree for Monthly Runoff Forecasting

https://doi.org/10.1007/s11269-020-02483-x
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Research on Annual Runoff Prediction Model Based on Adaptive Particle Swarm Optimization–Long Short-Term Memory with Coupled Variational Mode Decomposition and Spectral Clustering Reconstruction
inferred← citeshttps://doi.org/10.3390/w17182718openalex-snapshot
Runoff Forecast Model Integrating Time Series Decomposition and Deep Learning for the Short Term: A Case Study in the Weihe River Basin, China
inferred← citeshttps://doi.org/10.3934/mbe.2022076openalex-snapshot
Runoff forecasting model based on variational mode decomposition and artificial neural networks
inferred← citeshttps://doi.org/10.47328/ufvbbt.2022.322openalex-snapshot
Monitoramento e predição do escoamento superficial em minas a céu aberto com foco na extração de bauxita
inferred← citeshttps://doi.org/10.5194/hess-24-5491-2020openalex-snapshot
Two-stage variational mode decomposition and support vector regression for streamflow forecasting
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