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The division of the Association of Southeast Asian Nations (ASEAN) member states in South China Sea disputes brings up the question of how state coalitions form. Analysis of this issue often delves into specific factors such as the legality of territorial claims and each state's military and economic power. Generalized predictions of coalitions, however, require analysis of a variety of factors that...
China is the world’s most populous country with only 7% of the world’s arable land. Accurate assessment of the effect that future climate change may pose on grain production is essential to the sustainability of agriculture. Model variations plus uncertainties in the future climate change scenarios create a big challenge for such evaluation. In this work, we developed the statistical models for six...
Air temperature near the surface is an important controlling parameter for land surface processes, and is crucial to ecological, environmental, and hydrological modeling. Temperature records observed at meteorological stations have been widely used, but there has been an increasing need for temperature data in grid for modeling especially those using remote sensing data. Although grid temperature...
The aim of this study is to find a model to forecast China's carbon emission using the neural network. Some variables, such as GDP, export, investment in fixed assets and population, are considered. First, the neural network is constructed. Then, considering the effect of sub prime mortgage crisis and European debt crisis, we forecast the emissions in the next 10 years through the network. We find...
Over exploitation of groundwater resulted in seawater intrusion in coastal aquifer of Shenzhen city, China, during the 1980s and 1990s. In recent years, the improvement of water supply facilities alleviate seawater intrusion, however, it is still of great concern in some local region. A three dimensional density-dependent numerical model using FEFLOW code has been developed to simulate the extent...
With the sustaining economic development in China, the timely, accurate and objective agricultural production information service has been highly demanded by the central and provincial governments. China Agricultural Remote Sensing Monitoring System (CHARMS) is an operational agricultural monitoring system in the Ministry of Agriculture of China to meet this demand.
Spruce (Picea asperata) is a special species of China, it is the main tree building species of high mountains in Sichuan, and plays an important role in the restoration of degraded ecosystems in sub-alpine areas in western China. In this study, impacts of different rotation lengths on carbon storage over 480 years were simulated using the ecosystem Model FORECAST for spruce, FORECAST_SPRUCE. Four...
Based on the analysis of Norton Model and its parameter estimation, this paper takes advantage of statistical data for the empirical analysis about diffusion trend of update and substitution for CATV in China. The findings show that compared with Bass Model, Norton Model which describes two generation products-analog TV and digital TV well with substitution curve has higher fitting degree and prediction...
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 discusses the second-order mining of the results of data mining. There is still gap between the knowledge which can direct the operation of company and the knowledge got from data mining. We take the knowledge from data mining as primary knowledge and the knowledge from second-order data mining as intelligent knowledge. We discuss the importance of intelligent knowledge and the way to find...
The rapid development of automobile industry in China promotes the stable growth of the automotive aftermarket. For optimizing supply chain operations and reducing costs, it is critical for a company to forecast the demands for auto spare parts in the future. This paper proposes an improved Regression-Bayesian-BBNN (RBBPNN) based model to realize the demands forecasting. Compared with a classic ARMA...
Bass model have been used widely for diffusion curve of a new product in some countries of the world, but only a few studies have explored in the parameters' estimation of bass model. In this paper, Bass model is adopted to fit the diffusion curve of mobile subscribers of China with different parameter-estimation techniques respectively, such as NLS(Non-Linear Least Squares ) ,OLS(Ordinary Least Squares),...
Since reform and opening up to the outside world, rapid industrialization and urbanization in China have played an important role in the increase of energy consumption. China became the second energy consumption country all over the world in 2008. As a big country in energy consumption, forecasting energy consumption is one of the most important tools for energy policy setting. Although there are...
In this paper, we consider fuzzy variable weight combining forecasting which based on optimal combining forecasting and integrate those two modeling methods. Studies show that: optimal combining forecasting combines forecasting methods in a period of time and makes forecast through fixing the weight of forecasting methods that in the combination. But it does not consider that the weight will vary...
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...
Telecom broadband is a main channel supporting internet surfing in China. With the market competition development, customer churn management has become a kernel task of marketing for telecommunication operators. The traditional market research methods are difficult to support the challenge of churn. Data mining techniques are applied to the customer churn management, to establish an early-warning...
In order to decrease the damages caused by typhoon, an Artificial Neural Network (ANN) model has been established to predict the trend of storm flood in Shanghai, China. The model has capacity to simulate the brain's thinking process objectively and avoid the influence of the forecasters' subjective judgment. The present model is capable to predict the 12-hour ahead typhoon surge deviation in high...
Vegetation parameters are important to improve the performance of numerical weather prediction, global change monitoring, and ecosystem modeling. In the study, Discrete Anisotropic Radiative Transfer (DART) model is employed to simulate Bi-directional Reflectance Distribution Function (BRDF)of heterogeneous landscape scenes. The simulated BRDF is required to match the measured BRDF by the POLDER (POLarization...
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...
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