基于BP神经网络和实验数据的火力打击效能预测

针对火力打击效能预测问题，构建基于作战实验数据和BP 神经网络的预测方法。设计火力打击效能实 验和数据采集处理，构建6-18-1 型BP 神经网络预测模型，并通过作战实验数据样本进行验证。结果表明，火力打 击效能预测仿真值与实验值相近。

Effectiveness Prediction of Firepower Fighting Based on BP Neural Network and Experimental Data

Aiming at the problem of fire fighting effectiveness prediction, a prediction method based on operational experiment data and BP neural network is built. We designed the fire fighting effectiveness experiment and data acquisition and processing, built the 6-18-1 BP neural network prediction model, and verified it through the operational experimental data samples. The results show that the simulation results of fire fighting effectiveness prediction are similar to the experimental ones.