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The paper built the architecture of data mining algorithms library module based on Web Service, analysed the composition of the algorithms management module and its correlation with several modules, developed a data mining algorithms library system of modularization and hierarchy with Web Service on the basis of the logic frame of Meta data management
The fault in the high-speed electrified railway mainly results from catenary system, and the fault of catenary system mainly caused by its low reliability. Messenger wire bearing is critical force-bearing parts of catenary system, its reliability has an important influence on total catenary system, so its reliability simulation and analysis is very important, it is difficult to built messenger wire...
To reduce energy and water, water supply company need estimate future water consumption according to the record of daily water supply, and best arrange future production planning and control, water consumption is uncertainty and is strong non-linear time series, water consumption prediction estimation is more concerned by academics, it is predicted through various methods, multiple regression analysis...
Crack propagation rate (CPR) is important parameter in material speciality, establishing fatigue crack propagation rate is the key to forecasting structure fatigue lifetime, many approximate fitting models are used to calculate CPR, nine parameters fatigue crack propagation rate model and McEvily model are typical representatives, they are widely applied at present, but it is very complex to realize...
The data structure diagram is abstracted from the diagram of railway yard signal arrangement. HBACA (hybrid behavior based ant colony algorithm) is presented to search the shortest route of railway yard. The route searching program based on HBACA is developed. The graphical representation of railway yard is given on the console. According to the designated beginning node and the designated ending...
Population statistic and forecast is important basis that government establishes correlative policy, populationpsilas all characteristic has strong non-linear specialty because of all kinds of effects. A cross validation optimized parameter least support vector machine method of population statistic and forecast is presented aiming at bad precision and lack of rationality of all approximate model...
The pros and cons of current workflow models are analyzed in this paper. Furthermore, a Knowledge-flow and workflow based extended time workflow-Net (KWXTWF-net) is proposed to achieve effective knowledge sharing in workflow processes. In the proposed approach, the correlative definitions and characteristics of KWXTWF-net are described, and the time workflow is transformed into KWXTWF-net using building...
The discrimination of parameter probability distribution type is the key to structure reliability analysis. A support vector machine (SVM) intelligent recognition model of probability distribution law is presented aiming at traditional method disadvantage. The intelligent recognition model of probability distribution is constructed by SVM algorithm realization, network design and feature extraction,...
In this paper, identification control optimized algorithm is proposed based on the least squares support vector machine (LSVM), and a new composite strategy electro-hydraulic proportional PID controller is constructed by it, this controller used the LSVM PID online parameters adjustment and LSVM online identification for controlled object, LSVM electro-hydraulic proportional control system is formed...
The existed methods of association rules retrieval have not given enough high-level semantic information retrieval support. In order to resolve this problem, the authors propose a new method of association rules retrieval that is based on ontology and semantic Web. Ontology-based association rules retrieval method can well deal with the problems of rule semantics sharing, rule semantics consistency...
Information retrieve is one of the most important operations in computer information systems. This paper presents a kind of fuzzy information retrieve method based on soft computing (SCFIR for short). SCFIR adopts fuzzy clustering analysis and artificial neural networks to organize databases in systems so as to increase the efficiency of fuzzy retrieve. At the same time, SCFIR realizes the understanding...
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