基于BP网络的武器装备参数估算

Parameter Estimation of Weapon Material Based on BP Neural Network Approach

根据武器装备设计要求来确定某些参数往往涉及许多不确定因素。为了实现一些武器装备参数的定量化估算,本文基于BP神经网络计算模型提出了一种新的武器装备参数估算方法,并给出了实现这种方法的详细步骤。将该方法应用于导弹主要参数的估算,测试结果证明了此方法的正确性和可行性。该方法为武器装备的参数估算提供了新的途径。

Design of some parameter of weapon material is a difficult task due to the uncertainties involved in the process of estimation. In order to perform the quantificational estimation of weapon material a new approach is proposed for the estimation of weapon material based on the computational model of BP neural network. The approach is applied to the estimation of weapon material. Experimental results show that the estimation error for the case is less than 10%. This new approach is an effective way to parameter estimation of weapon material.