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This article presents a new SVM (support vector machine) fast learning algorithm which is based on the boundary vector. The speed of this algorithm has been improved considerably than traditional support vector machine,the requirement of memory space has also been obviously reduced. At the same time,because the support vector won't be lost in the process of selecting the boundary vector, So the performance...
Due to the complexity of real task for learning, the learning algorithms based on ERM (empirical risk minimization) principle always have good fit for the training samples, but bad prediction for future samples. SVM(support vector machine) as a new kernel learning algorithm has embodied Vapnik's SRM (structure risk minimization) principle. It overcomes the problem for ERM posing by optimizing the...
Support vector machine (SVM) is novel type learning machine, based on statistical learning theory, whose tasks involve classification, regression or novelty detection. Traditional SVM classifies the data with numerical features. However, in most cases of real world, there are much more data with fuzzy features. It is difficult to apply traditional SVM to fuzzy data directly to classify. In this paper,...
For the compressor operation, surge is a detrimental phenomenon of large oscillating pressure and flow in air compressors, which occurs usually at too low flow rate for a given discharge pressure. For many industrial air compressors, surge map is widely used for surge avoidance control. Field operation of centrifugal air compressors for manufacturing plant has shown that the surge map of a compressor...
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