BP-GA神经网络在装备保障综合防护效能评估中的应用

最近的几场高技术局部战争表明，良好的防护工程对提高装备保障的战场生存能力具有重要作用。文中通过分析影响装备保障综合防护效能的因素，建立相关指标体系，然后采用遗传算法改进BP神经网络模型对装备保障防护效能进行评估。实例表明，该模型能够较好地克服人为因素和模糊随机性的影响，评估结果更具有科学性。

Application of Neural Network in the Evaluation of Comprehensive Protection Efficacy about Equipment Support

The fastest high technology local wars show that good protective engineering plays an important part in raising the battle survivability of equipment support. The index system is set up by analysing the factors influencing the comprehensive protection efficacy about equipment support. Then Genetic Algori Back Propagation neural network model to evaluate the comprehensive protection efficacy. thm is used to improve The instance shows that this model can almost conquer the bad influence which is brought by factitious factors and fuzzy randomness. It made of the evaluation result more scientific.