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In the past, the accuracy of forecasting coal demand is not very satisfactory. In this paper, rough set for the coal demand factors affecting the reduction, the core factors extracted using BP neural network to predict, through the results of China coal demand forecast can be seen that the value of history fit very well, indicating that this model has better scientific and rationality. Finally, the...
Land use change (LUC) model is fundamental in decision making process for regional sustainable development. It is practically important to analyze LUC in rapidly urbanizing region, such as Panyu District of Guangzhou, China, where a fast economy development makes it necessary to study the rule of urban land use change. Taking time-spatial land use change as the key point, a case study is carried out...
This paper introduces the key technologies and tourism applications of networking autonomic system. The paper focuses especially in the theories, architectures and algorithms being used. It discusses the requirements for networking autonomic system in China and introduces a data mining and intelligent predicting system of tourism emergency based on networking autonomic system, which concentrates on...
The sustainable and rapid development of Chinese economy objectively brings forward new requirements for operating capability and development potential of Chinese logistics industry. Under the background, the paper used advance neural network method to establish a decision-making model of operating capability of Chinese logistics industry, and made efficient examining through real logistics data....
In this paper, time series model of ARIMA is used to make short-term forecasting of property crime for one city of China. With the given data of property crime for 50 weeks, an ARIMA model is determined and the crime amount of 1 week ahead is predicted. The modelpsilas fitting and forecasting results are compared with the SES and HES. It is shown that the ARIMA model has higher fitting and forecasting...
Recent years have witnessed the increased application of AI technologies to real-world e-commerce challenges. This article presents a brief overview of representative work by Chinese researchers, covering topics such as multiagent decision making, keyword advertising, social networks, recommender systems, information retrieval and the semantic Web, and computational experiments. This article is part...
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