基于ANN的高炮火力单元射击有利度评估

Evaluation to the advantage degree of fire unit in the air defence operation based on ANN

采用ANN(人工神经网络)方法对高炮火力单元射击有利度进行评估是一种新的尝试。在对各影响因素进行分析与量化处理的基础上,建立了基于ANN的高炮火力单元射击有利度评估网络模型,并提供了网络的解算方法。通过某型高炮对不同目标射击的已知有利度评估值对网络进行的训练,确定了网络的各权值,并使学习误差达到了预先规定的标准,实现了对该型高炮对空射击有利度的评估。

Evaluating the advantage degree of fire unit in the air defense operation using ANN is a new attempt. Based on the analysis and the quantization disposal,the advantange degree estimated model by ANN is established and the conclusion in given. By training the network using different known value collected from the certain anti-aircraft artillery,each weight were ascertained, the error standard was achieved, and the estimation of advantage degree of the certain anti-aircraft were realized.