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Weather factors such as temperature and rainfall in residential areas and tourist destinations affect traffic flow on the surrounding roads. In this study, we attempt to find new knowledge between traffic congestion and weather by using big data processing technology. Changes in traffic congestion due to the weather are evaluated by using multiple linear regression analysis to create a prediction...
Bacillary dysentery is an important infectious disease caused by shigella dysenteriae. Here, we characterized the dynamic temporal trend of bacillary dysentery, and identified climate-related risk factors and their roles in bacillary dysentery transmission in Harbin city, China. A database is integrated monthly climate factors and incidence rates of Harbin city from 1986 to 1990. In this study, three...
Because of the Spring Festival effect, it's hard for traditional methods to predict monthly electricity consumption in January and February. This paper presents a specialized subsection-model which can better reflect the situation to solve this problem. In terms of the holiday condition, the model divides the days of the two months into two parts: the usual electricity days and holiday electricity...
As for evaluating an administrator of a library, library lending is an important indicator. Furthermore, if library lending can be known previously, then the information may help an administrator make the annual plan. The change of library lending depends on the change of the number of readers and on the change of the books that a library possesses. Library lending has a strong association with the...
This paper uses GMDH method to establish a prediction model to forecast the vehicles for business transport of Guangxi in China, since the original samples of the output value of transport & storage of Guangdong are less enough to be used with the traditional methods. Compared with traditional linear regression and artificial neural network, the predicted results show that GMDH method is an effective...
This paper uses GMDH method to establish a prediction model to forecast the output value of transport & storage of Guangdong in China, since the original samples of the output value of transport & storage are less enough to be used with the traditional methods. Compared with traditional linear regression and artificial neural network, the predicted results show that GMDH method is an effective...
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