基于Elman神经网络的装甲装备维修保障系统效能评估

Evaluation of Armored Equipment Support System Effectiveness Based on Elman Neural Networks

从影响装甲装备维修保障系统效能的主要因素出发,建立了比较全面的装甲装备维修保障系统效能评价指标体系。介绍了Elman神经网络的结构和学习过程,建立了维修保障系统效能评估模型。采用Delphi法和AHP相结合的方法,处理了原始数据,获得了10组训练样本和测试样本。利用Matlab7.0进行了评估模型的构建,利用训练样本对模型进行了训练和测试,证明了模型的可用性。研究结果可为在现有装甲装备维修保障系统的基础上开发和研制新型系统提供理论参考。

The author sets up relatively general index system of the armored equipment maintain support system by analyzing the main affecting factors. It also introduces the architecture of the Elman neural network and study process, and constitutes the model. The original data is delt with the Delphi and AHP method. The model is exercised and tested used the swatch data, and proved its usability. The research outcome can provides the theory preference for developing and researching new maintain support system on the basis of the current system.