基于深度置信网络的装备体系贡献度评估方法

Equipment Contribution Rate to System-of-Systems Evaluation Method Based on Deep Belief Networks

针对武器装备体系贡献度评估中存在的体系内部装备数量繁多且装备之间交联耦合、数据处理有效性不足等问题,提出了基于深度置信网络的体系贡献度评估方法。首先,搭建了体系贡献度评估框架,在此基础上构建了体系贡献度评估指标体系。然后,提出基于深度置信网络的装备体系贡献度评估方法,并建立合适的评估计算模型分析指标体系底层的各项评估指标。最后,在典型的空战体系场景下,采用所提出的评估方法进行仿真实验,结果验证了所构建的评估指标模型及所提出的评估方法的可行性和合理性。

Aiming at the problems of the large number of internal weapon equipment in the system-of-systems,the crosslinking of equipment,and the lack of effectiveness of data processing in the evaluation of the contribution rate to system-ofsystems.A evaluation method of the contribution rate to system-of-systems based on the deep belief network is proposed.First of all,a framework for evaluating the contribution rate to system-of-systems is built,and on this basis,an evaluation index system for the contribution rate to system-of-systems is constructed.Then,a method for evaluating the contribution rate to system-of-systems based on a deep belief network is proposed and a suitable evaluation calculation model is established to analyze the evaluation indicators at the bottom of the index system.Finally,in a typical air combat system-of-systems scenario,the proposed evaluation method is used for simulation experiments,and the results verify the feasibility and rationality of the constructed evaluation index model and the proposed evaluation method.