基于IHHO-MCNN的反坦克雷场效能评估研究

Research on effectiveness evaluation of anti-tank minefield based on IHHO-MCNN

针对反坦克雷场作战效能评估问题,提出了基于哈里斯鹰算法(HHO)优化蒙特卡洛神经网络(MCNN)的反坦克雷场作战效能评估方法。首先,介绍了IHHO算法和蒙特卡洛神经网络的基本原理和算法流程;然后,对反坦克雷场效能评估的主要影响因素进行分析,归纳总结了反坦克雷场的作战效能评估的指标体系;最后,构建了IHHO-MCNN神经网络评估模型。仿真实验结果表明,该模型可以有效对反坦克雷场进行效能评估。

Aiming at the problem of operational effectiveness evaluation of anti-tank minefield,a method of operational effectiveness evaluation of anti-tank minefield based on Harris Hawks Optimization(HHO)optimized Monte Carlo neural network(MCNN)is proposed.Firstly,the basic principles and algorithm flow of IHHO algorithm and Monte Carlo neural network are introduced.Then the main influencing factors of the effectiveness evaluation of anti-tank minefield are analyzed,and the index system of the effectiveness evaluation of anti-tank minefield is summarized.Finally,the IHHO-MCNN neural network evaluation model is constructed.The simulation results show that the model can effectively evaluate the effectiveness of anti-tank minefield.