A New Process Industry Fault Diagnosis Algorithm Based on Ensemble Improved Binary-Tree SVM
Chinese Journal of Electronics(2015)
摘要
Support vector machine (SVM) is an effective tool in deal with small sample, nonlinear and high dimension classification problems. In this paper, an improved pre-treatment binary-tree SVM is proposed to solve fault diagnosis. Furthermore an ensemble method is presented to establish ensemble SVM. Here the improved SVM is used as weak learning machine. The new ensemble SVM can improve the performanc...
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关键词
blast furnaces,chemical engineering computing,chemical industry,fault diagnosis,learning (artificial intelligence),support vector machines,trees (mathematics)
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