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At present, shallow characteristics are usually utilized to represent the distributed features of text for Chinese spam classification, causing the problem of inexact text vector representation and low classification performance. A novel Chinese spam classification method based on weighted distributed feature is proposed by combining the features of TF-IDF weighted algorithm with the distributed text-based...
The article describes a system that uses real time measurements of the vocal tract to drive a voice-replacement system for post-laryngectomy patients. Based on a thermoformed acquisition helmet, miniature ultrasound machine, and video camera, and incorporating Hidden Markov Model speech recognition, the device has been tested on three speakers, one of whom has undergone a total laryngectomy. Results...
The task of finding transcription start sites (TSSs) can be modeled as a classification problem. Semi-Supervised Support Vector Machines (S3VMs) are an appealing method for using unlabeled data in classification. Based incorporation prior biological knowledge for recognizing TSSs, propose a Self-Training S3VMs (ST-S3VMs) algorithm. ST-S3VM builds a SVM classifier based small amounts of labeled data...
The Intelligent control methods are drawing great attentions due to their strong adaptive ability and learning ability. Because of strongly nonlinear magnetic characteristics of switched reluctance motor(SRM), modeling of the torque characteristics is difficult. In this paper, the new torque modeling approach based on artificial neural network(ANN) is investigated, where the training data are obtained...
Accurate modeling of flux-linkage characteristics is the basis of design and control of switched reluctance motor (SRM). The flux-linkage characteristic of SRM is a function of both the excitation current and rotor position. But due to the highly nonlinear characteristics of SRM, modeling is cumbersome. In this paper, three effective algorithms for modeling of SRM are investigated, which are based...
Based on the artificial neural networks(ANN), a new rotor position estimation method for switched reluctance motor(SRM) drives is investigated in this paper. The nonlinear magnetic characteristics of SRM, obtained by finite element analysis(FEA), are used as the training data. After sufficient training, the correlation among flux linkage, phase current and rotor position can be built up with the ANN...
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