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A synchronization observer is proposed to identify any given nonlinear systems with slowly time-varying parameters. In the process of parameter identification, the existing synchronization method (SM) provides the parameter estimations continuously in a small updating rate to obtain two state memories. These memories are then utilized to impulsively correct the parameter estimation in a narrow time...
The wisdom tourism is the important development direction of tourism which will realize the refinement and personalized of tourism. The wisdom tourism needs support of the data flow processing platform and framework because tourism data is dynamic, large number and multi-dimensions. This paper describes a two-stage modular data flow processing framework based on data view and data service. Taking...
A safe can be made safely by making it key-free. Such a safe can be opened by recognizing the owner's palmprint features only. A new method based on wavelet transform is proposed according to the palmprint line direction and space frequency. A support vector machine classifier is formed by combining radial basis of functions(RBF) kernel with polynomials kernel to significantly improve the rate of...
It is deficiency to use accuracy as a measurement to evaluate model classifying ability. This paper proposes a measurement method which uses the area under the ROC curve, or AUC value, to evaluate the performance of the model. Furthermore, applying cross validation and grid-search methods, through designed algorithms, to build an optimization of support vector machines medical prediction model. The...
Support vector machine (SVM) has been a promising method for data mining and machine learning in recent years. However, the training complexity of SVM is highly dependent on the size of a data set. A cluster support vector machines (C-SVM) method for large-scale data set classification is presented to accelerate the training speed. By calculating cluster mirror radius ratio and representative sample...
Attributes of Concept Lattice are divided into absolutely necessary, relatively necessary and absolutely superfluous attributes. The discernible Boolean matrix of Concept Lattice and the elementary row transformation of Boolean matrix are defined. The model of attribute reduction in the form of linear logical equations is established. The method of transforming discernible Boolean matrix into simplest...
Support vector machine (SVM) has been a promising method for data mining and machine learning in recent years. However, the training complexity of SVM is highly dependent on the size of a data set. A preprocessing support vector machines (P-SVM) method for large-scale data set classification is presented to speed up SVM training. By analyzing the neighbor classification feature for each sample in...
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