2019
DOI: 10.1007/s12205-019-0114-2
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A Hybrid Grey Model to Forecast the Annual Maximum Daily Rainfall

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Cited by 4 publications
(2 citation statements)
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“…The GM(1,1) model is one of the most important models in the grey model group. There have been research reports on the use of grey system theory in the prediction of rainfall, and the prediction results were consistent with the actual situation [ 11 ]. It is an approximate model and effective if the data series shows a behavior of exponent distribution.…”
Section: Introductionsupporting
confidence: 68%
See 1 more Smart Citation
“…The GM(1,1) model is one of the most important models in the grey model group. There have been research reports on the use of grey system theory in the prediction of rainfall, and the prediction results were consistent with the actual situation [ 11 ]. It is an approximate model and effective if the data series shows a behavior of exponent distribution.…”
Section: Introductionsupporting
confidence: 68%
“…To predict disasters, Pontoh et al [ 10 ] constructed a model of rainfall forecasting using a nonlinear autoregressive exogenous neural network. To determine long-term hydrological system trends, Lin et al [ 11 ] proposed a hybrid grey model for forecasting annual maximum daily rainfall. Zhao et al [ 12 ] proposed an hourly rainfall forecast model based on a supervised learning algorithm to predict rainfall with high accuracy and high time resolution.…”
Section: Introductionmentioning
confidence: 99%