The bearing life forecast model based on BP network is researched. The multi step and multi feature forecasts can be realized concurrently.
试图用BP神经网络建立轴承寿命预测模型，并在该模型上进行多特征参数和多步预测方法的研究。
An anomaly detection model based on the multi-feature similarity in large-scale network is proposed in this paper.
提出了大规模网络中一种基于相似度的异常检测模型。
Based on the working feature of flying shear mechanisms and considering the motion track, velocity and position Angle of connecting rod, a multi-objective optimization model is built.
根据飞剪剪切机构的工作特点，综合考虑连杆运动轨迹、速度和位置角，建立多目标优化模型。
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