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Essays in different text genres have different ideas and writing method. Prediction the text genres firstly will help get a better accuracy when predicting the success of literary or finding the beautiful words and sentences in the essay. And it will help set a different standard for different text genres when scoring the writing by computer. Words and structure can be effective in discriminating...
In order to accurately forecast Quality of Service (QoS) of different Web Services, this paper proposes a novel QoS forecasting approach called MulA-LMRBF (Multi-step fore-casting with Advertisement and Levenberg-Marquardt improved Radial Basis Function) based on multivariate time series. Considering the correlation among different QoS attributes, we use phase-space reconstruction to map historical...
With the rapid growth of images information, how to classify the images has been a main problem, and most of researchers are concerning on the neural networks to realize the images classification. However, the neural networks can not escape from its own limitations including the local optimum or the dependence on the input sample data. In this paper, another new algorithm named support vector machine,...
Aiming at the high guideposts of capacity, pressure and Mach number of the 0.6 meters wind tunnel, a new strategy compounded fuzzy and PID is proposed in this paper, and the corresponding controller is designed for the wind tunnel. Using the advanced virtual instrument programming language Lab Windows/CVI as the development tool, the control of continuous Mach number and single nozzle total pressure...
This paper proposes a new email classification model using a linear neural network trained by perceptron learning algorithm (PLA) and a nonlinear neural network trained by back propagation neural network (BPNN). A semantic feature space (SFS) method has been introduced in this classification model. The bag of word based email classification system has the problems of large number of features and ambiguity...
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