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Aiming at the sensitive issues of service quality in cloud computing, a task scheduling tactic with multidimensional QoS constraints is studied. Based on cluster service and user QoS preference, this article constructs an immune optimization model to make a description through formulas and quantify the performance constraints; the utility function of multidimensional QoS is given and then the immune...
Using information technology to reform manufacturing industry is the important way to promote international competition of manufacturing industry. Networked manufacturing is an important part in Manufacture Information Engineering, it becomes a development direction of manufacturing industry in 21st century. In combining with the experiments and researches of the subject, this paper discusses current...
A new model, called as PCA-LSSVM was investigated. The model is fit for company in the small sample space. It uses PCA to predigest the input vector and uses LSSVM to judge the statement of the company risk. With the model, one or more listed company could be selected in textile industry, and the defects in resolving early warning of the fnancial risk with traditional algorithm model could be omitted...
The financial pre-warning has an important bearing on the survival and development of an enterprise. Aimed at the character of the coal industry, the least squares support vector machine prediction model is given based on the principle of the statistical learning theory and structural risk minimization. The result is given that the forecasting model is effective and offers a new method to forecast...
The forecast of grain production is not only an important resource for establishing agriculture policy but also is of great significance to ensure our nation's food security based on studying the change rule of our country grain production system. In view of the fact that the complexity and incomplete information of grain production system, the primary factors influencing the grain production is decided...
The forecast of production is an important resource for establishing policy. Aimed at the character of the agriculture system, the least squares support vector machine prediction model is given based on the principle of the statistical learning theory and structural risk minimization from the Service-Oriented Architecture. The result is given that the forecasting model is effective and offers a new...
This paper proposes a new method: PCA- Optimal SVM model which is composed of PCA and Optimal SVM to optimize the allocation of manufacturing grid resources through resources allocation data. The model is fit for company in the small sample space. It uses PCA to predigest the input vector and uses Optimal SVM to judge the statement of the company resources. With the model, one or more enterprises...
By defining this resource quality objectives, the combination evaluation model based on principal component analysis determining objective weight and analytic network process determining subjective weight was presented to solve the problems of combinatorial optimization arising from the dimensions' differences between manufacturing grid and resource allocation and distributed manufacturing resource...
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