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。
And the simulation experiment also indicates that the model can not only detect multi-step attacks but also forecast the next attack.
最后,通过模拟实验说明了本模型的有效性,用它不仅能检测出复合攻击,还能预测攻击者将要采取的攻击行为。
And the simulation experiment also indicates that the model can not only detect multi-step attacks but also forecast the next attack.
最后,通过模拟实验说明了本模型的有效性,用它不仅能检测出复合攻击,还能预测攻击者将要采取的攻击行为。
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