基于BP神经网络的C4ISR系统人机交互性能评估

针对C4ISR系统中人机交互子系统的特点,运用神经网络方法探索其性能评估问题.建立了C4ISR系统人机交互性能评估的指标体系,阐述了BP神经网络的相关原理及算法,构建了基于此网络的性能评估模型.并利用MATLAB软件进行了仿真分析,证明了理论的正确.采用神经网络理论进行性能评估,可弥补专家的经验和知识,降低评价过程中的人为因素影响,保证其客观性.模型能够比较准确地对C4ISR系统人机交互性能进行评估,为研究指挥自动化系统提供了一种新的思路.

Man-Machine Interaction Evaluation of C4ISR System Based on BP Neural Network

This paper introduces the method of man-machine interaction of C~4ISR system based on the BP neural network. The index set is given, the theory and calculation method of network are expatiated, and a model is established by applying forward neural network. Then, use MATLAB to simulate. The practical calculation shows the method is feasible. It can reduce the contrived infection for the use of BP network. And the model can give an exact evaluation, which offers a new thinking for the man-machine interaction evaluation.