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。
The LMBP neural network can predict nonlinear time series very well and the new method is effective for the fault prediction of nonlinear systems.
基于该网络的时间序列预测模型可以实现性能优越的非线性预报器，将其应用于非线性系统的故障预报能够取得良好的效果。
Based on these, multiple linear regression, LMBP, MOBP, VLBP and BRBP model are used to forecast oil-gas prospecting cost, and each of their forecasting performances is compared.
在此基础上，采用了多元线性回归模型、LMBP模型、MOBP模型、VLBP模型与BRBP模型对油气勘探成本进行预测，并对各模型的预测性能进行了比对。
The digital collection and intelligent control is realized by low-power consuming MCU and high precision ADC. The fitting accuracy of the static feature curve is improved by using the LMBP algorithm.
该方案采用低功耗MCU和高精度ADC实现对流量的数字化采集和智能控制，应用LMBP算法实现高精度的静态特征曲线拟合；
The digital collection and intelligent control is realized by low-power consuming MCU and high precision ADC. The fitting accuracy of the static feature curve is improved by using the LMBP algorithm.
该方案采用低功耗MCU和高精度ADC实现对流量的数字化采集和智能控制，应用LMBP算法实现高精度的静态特征曲线拟合；
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