2023
DOI: 10.1016/j.knosys.2023.110506
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Forecasting chaotic weather variables with echo state networks and a novel swing training approach

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Cited by 2 publications
(1 citation statement)
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“…(Qu & Shi, 2023) suggested that the potential movement of the infection chain from one stage to the next should be considered when predicting disease outbreaks. In addition, machine learning techniques have been explored to improve the predictive capabilities of climate and weather models (De, et al, 2023). Disease prediction is a system that allows more accurate prediction of the incidence or severity of a disease.…”
Section: Introductionmentioning
confidence: 99%
“…(Qu & Shi, 2023) suggested that the potential movement of the infection chain from one stage to the next should be considered when predicting disease outbreaks. In addition, machine learning techniques have been explored to improve the predictive capabilities of climate and weather models (De, et al, 2023). Disease prediction is a system that allows more accurate prediction of the incidence or severity of a disease.…”
Section: Introductionmentioning
confidence: 99%