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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...
Based on the statistical data during the period from 2003 to 2008 released by National Bureau of Statistics of China, this paper focused on forecasting the amount of the scientists and technicians in China, using GM (1, 1) model and regression model. The result of this empirical study is that the grey prediction theory can fit the scientists and technicians amount development precisely in China. The...
The county level of basic public services analysis and classification play an important role in county economic growth and improve benefit of healthy development of urbanization in China. According to the county level of basic public services data which is large scale and imbalance, this paper presented a support vector machine model to classify the county level of basic public services. The method...
Aiming at the problem that if the 2008 listed company executive high price can improve enterprise value, this paper empirically researches on the listed company executive compensation and corporate performance according to 2009 listed company annual report data. This paper selects the 2009 A-share listed companies of Shanghai in China as research samples, empirical analysis of correlation between...
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...
This paper, based on provincial level panel data of the eastern, central and western region of China from 1996 to 2007, studies the relationship empirically between human capital and regional economic growth in China by using fixed effects regression model of random-intercept .The results show that the fixed asset investments, labor input and education funds play an important role in improving the...
Forecasting the annual energy demand of a country has important implications for the policy makers and investors. Annual energy demand of a country is strongly related with its economic structure and performance. This paper presents a model based on multilayer feedforward neural network to forecast the energy demand for China. The model has four independent variables, such as gross domestic product,...
This paper applies DEA model to a sample of 58 power plate listed companies in the securities market in China in 2008, with a view to identifying the financial risk companies and non-financial risk companies, instead of using ST in the past. Then, after comparing logit regression model and neural network LVQ in predicting the company financial risks, the conclusion was drawn that neural network LVQ...
Global solar radiation is need knowledge for solar energy system design. In this work, the artificial neural networks (ANN) were applied to estimate the daily global solar radiation in China. Eight-year meteorological data from ten weather stations, which located at very different locations and climate zone, was randomly split into training, validation and test set with the proportion of 2:1:1. Daily...
A displacement model using the back propagation algorithm of artificial neural networks (BP-ANN) optimized with a genetic algorithm (GA) was presented on the example of an arch-type dam in China. The settlement displacement analysis for a single point located on the dam was performed. The analysis consists of three stages: principal component analysis (PCA), BP-ANN modelling, and deformation forecast...
Because of its strong ability in capture the nature of complex systems, cellular automata (CA) have been widely used to simulate suburban land use changes and urban pattern evolution. Driving forces impacting suburban land use changes could be derived from the multi-temporal remotely sensed imageries to retrieve the transition rules of geographic CA (geo-CA). With the images of two stages ranging...
Based on the statistical data during the period from 1978 to 2006 released by National Bureau of Statistics of China, this paper applies the compensative GM (1,N) model and regression model to simulate the relationship between the expenditure for science & technology and economic growth. In the numerical experiment, the established grey model simulates the China's GDP values during the period...
A 4-month data set was used to investigate historical changes between the number of the Cyanobacteria and concentrations of total nitrogen (TN), total phosphorus (TP), TN:TP, chemical oxygen dawdling (COD), NO3, pH and Chl-a in a shallow temperate zone lake (Guishui Lake, Beijing, China). The aim was to evaluate changes in the risk of Cyanobacteria blooms, which have occurred several times in the...
Public choice theory can better explain lower input-output efficiency of higher education and lower allocative efficiency of higher educational resources in different provinces of China, and modified quadriform model based regression analysis and discriminant analysis can better distinguish input- output efficiency of different educational units and important associated characters of high efficiency...
Based on actual data of state-owned commercial banks in China, combining with the corporation financial data, and applying Logit regression model, we empirically analyzed corporate default probability. The result shows that Logit model is an ideal tool of forecasting corporate default probability, and that the data and techniques are of practical significance to credit rating and risk management of...
The purpose of this paper is to present some empirical findings on the spatial distribution of real estate taxes impacts on housing price in China. The fixed effect regression model was used to estimate this effect with data of the 31 provinces and metropolis in 1998-2006. The fording showed that: (1) real estate taxes had both direct and indirect impact on housing price. The direct effect was real...
Based on the statistical data during the period from 2003 to 2008 released by Henan Statistical Bureau in China, this paper focused on forecasting the amount of the scientists and technicians of Henan province in China, using GM (1, 1) model and regression model. The result of this empirical study is that the grey prediction theory can fit the scientists and technicians amount development precisely...
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