Before detecting the fault, the sample set is used to train the neural net work by LMBP algorithm.
在故障检测之前，需要利用样本集通过反向传播算法(即lmbp算法)来训练神经网络。
This paper introduces the method of air defence artillery group firing command ability based on the LMBP arithmetic.
介绍了一种基于BP神经网络的防空兵群射击指挥能力综合评估方法。
The LMBP algorithm is optimized by utilizing the KDD99 data set, selecting the suitable data and adding some limiting conditions.
结合KDD99数据集，选取适当的数据，通过加入一些限制条件，对LMBP算法进行了优化。
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