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At present, there is a strong trend of intelligence and miniaturisation of equipments accord with the rise of the Intelligent Equipment, the Mobile Internet and the Internet of Things. As the comprehensive research subject of the Artificial Intelligence and Pattern Recognition, Statistics Theory, Signal Processing subjects, Speech Recognition has got enough attention and development for a long time,...
This paper analyses the deficiency of SVM-RFE feature selection algorithm and puts forward a new feature selection method combined with SVM-RFE and PCA. Firstly, we get the optimal feature subset through the method of cross validation based on SVM-RFE. Then, we use the PCA method to analyse the main component about optimal feature subset and get a lower-dimension and independent data sets which are...
This paper analyses the defections of traditional support vector machine (for short SVM). According to the characteristics of grain information on the web, a multi-class classification method based on Huffman binary tree SVM (for short HBT-SVM) is presented for grain information classification. Compared with existing SVM methods, this method has higher computation efficiency. The experimental results...
An intelligent forecasting method for local short term electric load is proposed based on fuzzy clustering and partitioned support vector regression (PSVR). Firstly, the scheme of this method is introduced. Then, prediction time was partitioned into three sections adaptively by means of fuzzy C-means clustering, according to the characteristics of local power load pattern. Sub-models for each section...
In order to detect the intrusion in the system, the information fusion technology was applied into intrusion detection. First, the audit data based on host and network data based on net were trained all together by using SVM and classification were realized. Then the D-S evidence theory was adopted to complete decision fusion. The performance of intrusion detection system is improved greatly, false...
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