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According to the prediction model of neural network training methods to slow convergence speed, training for a long time and difficult to control the complexity of weights updating, this paper puts forward Bayesian reasoning state-space neural network, using termination conditions control its training and the confidence interval restrained by control factor standard the results. Using this method...
Considering the shortages of traditional RED algorithm, that are difficulty of setting parameters and lack of fairness, and the unique advantages of fuzzy control in dealing with network congestion issues, a new fuzzy congestion control algorithm for Differentiated Services named DSFCC is proposed. The algorithm adequately considers the user's requirements of Quality of Service (QoS) of different...
This paper presents a new attribute significance measurement method based on the viewpoint of information theory of Fuzzy Rough Set. The method does not need to discretize continuous attributes included in cases, which can effectively reduce information loss, and it is suitable for the cases which contain both discrete and continuous attributes. Then it proposes a heuristic algorithm based on the...
There are two shortages when the method of classification based on association rules is applied to classify the web documents: one is that the method process the web document as a plain text, ignoring the HTML tags information of the web page; another is that either item of the association rules is only the word in the web page, without considering the weight of the word, or it quantifies the weight...
Noise interference in web pages and the demand for multiple sample pages are the key issues of Deep Web data extraction. In this paper, we propose a novel web page repetitive structure and URL feature based approach for Deep Web data extraction. It employs continuous repetitive tag region and similar URL to partition the sample page into blocks, locate the data region and extract specific URL template,...
For the incomplete data that usually exists in the process of pretreatment, this article presents an approach for treatment of the incomplete data based on WaveCluster and weighted 1-Nearest Neighbor (1-NN).The proposed method firstly carries out the WaveCluster in the complete record set of the whole set, which can reduce the volume of comparative data and rule out outliers, improve computational...
The publish/subscribe communication paradigm is receiving increasing attention in distributed networks, in which routing strategy is one of the key issues. Many existing routing strategies are filter-based routing and multicast-based routing; they have obvious improvement in network efficiency. However, there are some shortcomings in implementation cost and system load, therefore they are not mature...
This paper analyzes the requirement of authorization service for grid computing systems and proposes the use of threshold closure as a basic mechanism for implementing authorization service in grid computing systems. While pointing out the desirable features of threshold closure for complex authorization policies, the paper also discusses the practical limitations of threshold closure in such an environment,...
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