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

Abstract

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.

Keywords

• anti-tank minefield|effectiveness evaluation|harris hawks optimization|monte carlo neural network|multiple index evaluation