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Directing at the complex structure, cockamamie production technology and great operation difficulty of vertical roller mill, this paper constructs the fault expert system to guide and optimize the grinding process. First, the expert database is established with fuzzy cluster analysis, principal component analysis (PCA) and tendency analysis. With support vector machine (SVM) regression, the multiple...
The location of logistic center directly influences the operational effect of the enterprise. Support vector machine (SVM) has been applied to regression widely. However, if the index of the training data has much noise and redundancy, the generalized performance of SVM will be weakened, so this can cause some disadvantages of slow convergence speed and low regression accuracy. A SVM regression model...
According to the complexity of economy-environment system and many environmental indicators, which influence the development of economy, we first use principal component analysis (PCA) to realize the dimension reduction of the environmental indicators. Then a non-linear method - support vector regression (SVR), which is a part of support vector machine (SVM) is used to establish the forecast model...
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