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Low-carbon, the only way to the sustainable development of all countries around the world, has become a hot topic. Carbon flux (FC) is closely related to many factors in ecological environment as an index of global carbon emissions. Therefore, it is very important to find effective methods to study the relationship between FC and environmental factors. A predicted model based on wavelet networks is...
In this paper the new grid task attemper is discussed. It join with role layer resource organize, role working flow, role collaboration and grid computing, It can decompose the complicated tactics computational task into little blocks and assign to many computers to complete cooperatively and synchronously, which was originally done by only one computer, such questions as poor speed, high request...
The Diffusion Network (DN) is a probabilistic model capable of recognising continuous-time, continuous-valued biomedical data. As the stochastic process of the DN is described by stochastic differential equations, realising the DN with analogue circuits is important to facilitate real-time simulation of a large network. This paper presents the translation of the DN into analogue Very Large Scale Integration...
The main role of E-Business in the information revolution concentrates on reconstructing and optimizing the traditional business model and the mechanism of value-creating. With the development of the industry information, many types of e-markets have been emerging, and E-exchange is just one of them. On the background of Guangdong Plastics Exchange's practical program construction, the article summarizes...
This paper proposed two models with extreme average clustering coefficients and small path length properties for high edge density network. High density networks are common in the analysis of social networks and biological networks. In addition to those properties, the proposed models indicated that in addition to the existing small-world network model and random network model, there are other network...
The mathematical model of population growth is based on logistic equation and BP neural network. The total population is predicted for the next 30 years through the use of Logistic modeling and generalization data. The dynamics of population growth is studied in non-linear dynamic, which pointed out that the problem is the issue of chaos. It is difficult to accurately forecast long-term population...
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