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Motor is a kind of imperative driving device, whether a motor can monitor its state precisely and diagnose fault timely have a profound impact. This paper mainly investigates the improvement of the general method of motor defect diagnosis to achieve higher accuracy. Unfortunately, every classifier has their own respective advantages and disadvantages, using the typical machine learning methods separately...
Manifold learning based unsupervised classification methods will be unable to obtain satisfactory results because of the lack of training samples. The employment of training samples' information makes manifold learning based classification become supervised, and thus brings the improvement on classification accuracy. In order to make full use of this information, we emphatically consider the hyperspectral...
the transfer of rural labor force takes a significant impact on Chinese economy and provides vocational education and training for the existing rural labor which can promote rural workforce transfer to non-agricultural industries and towns. This paper uses data envelopment analysis (DEA) to do a quantitative analysis on the efficiency of agriculture vocational education in China and actively explores...
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