Title: Application of Multivariate Gray Sequence Forecast Model in SARS Research
Abstract: During the period of SARS,to predict the patient population was an important subject.Gray theory from the gray model was used to establish GM(1,3) model,using GM(1,1) model to correct error,and forecast model was got to predict the accurate population of patients.Artificial Neural Net(ANN) was taken to correct the data,improving the forecast accuracy.Comparing the result got by MATLAB programming and calculating with that of the real data,we could conclude that the forecast model is more accurate than the traditional ones.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
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