By collecting samples for SVM training, the optimal separating surface with the minimization structural risk is developed for real-time monitoring of the functioning of the state transformer fan.
通过采集风机样本进行SVM训练，拟合出具有最小结构风险的最优分类面，用于实时监测变压器风机的运转状态。
By collecting samples for SVM training, the optimal separating surface with the minimization structural risk is developed for real-time monitoring of the functioning of the state transformer fan.
通过采集风机样本进行SVM训练，拟合出具有最小结构风险的最优分类面，用于实时监测变压器风机的运转状态。
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