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。
应用推荐