基于相关性分析的指挥信息系统模拟数据集可用性评估算法

doi:10.3969/j.issn.1000-1093.2021.02.017

摘要/Abstract

摘要： 针对指挥信息系统模拟数据集可用性评估难的问题，提出了基于相关性分析的指挥信息系统模拟数据集可用性评估算法。该算法定义了模拟数据集的相关性评价标准，分别构建了数据集的基本信息矩阵、冗余度张量、交互度张量；给出了交互信息和冗余信息计算的近似公式，通过爱因斯坦求和约束求解数据集的相关关系张量；根据深度学习中损失函数的思想，计算生成数据集与原始数据集可用性张量之间的误差距离。仿真结果表明，所提算法能够较好地表征数据集的可用性，为数据生成算法提供鉴定依据。

关键词: 指挥信息系统, 可用性, 相关性, 模拟数据集

Abstract: A correlation analysis-based usability evaluation algorithm (CA-UEA) of the simulation dataset for the command information system is proposed for assessing the usability of simulation dataset for the command information system based on correlation analysis. The relevance evaluation criteria of the simulation dataset are defined. The basic information matrix, redundancy tensor and interaction tensor are constructed separately. Approximate formulas for calculating interactive information and redundant information are proposed. The correlation tensor of dataset is solved by Einstein summation constraints. And the error distance between the generated and original dataset usability tensors is calculated based on the loss function in deep learning. The simulated results show that the proposed algorithm can better represent the usability of dataset and provide the identification basis of the data generation algorithm.

Key words: commandinformationsystem, usability, correlation, simulationdataset

中图分类号:

田相轩，李军旗，金丽亚，刘正仁，石志强. 基于相关性分析的指挥信息系统模拟数据集可用性评估算法[J]. 兵工学报, 2021, 42(2): 399-407.

TIAN Xiangxuan, LI Junqi, JIN Liya, LIU Zhengren, SHI Zhiqiang. Simulation Dataset Usability Evaluation Algorithm Based on Correlation Analysis for the Command Information System[J]. Acta Armamentarii, 2021, 42(2): 399-407.

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