首页|基于神经网络的军队基本建设财务风险预警研究

基于神经网络的军队基本建设财务风险预警研究

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为创新军队财务管理模式,推进财务监管模型建设,防范军队财务风险,以军队基本建设财务作为研究对象,将神经网络模型用于军队基本建设财务风险预警.首先,通过借鉴地方基本建设财务风险预警指标,参照《军队预算绩效管理暂行规定》,构建了军队基本建设财务风险预警指标体系;然后,采用主成分析法对指标体系进行筛选,利用神经网络模型对相关指标数据进行训练和检验.判断准确度分别为 98.82%和 94.29%,具有很好的灵敏度,表明基于神经网络模型建立的军队财务风险预警模型具有较好的财务风险预警能力.
Early warning against financial risk of military infrastructure based on neural network
Aiming at innovating the model of military financial management,promoting the construc-tion of financial supervision so as to prevent the military financial risk,the military infrastructure was taken as the research object,trying to apply the neural network model to early warning against finan-cial risk of military infrastructure.By referring to the civil capital construction financial risk early warning index and Interim Provisions on Military Budget Performance Management,the military in-frastructure financial risk early warning index system was established.Principal component analysis method was used to screen the index system,and neural network model was used to train and test the relevant index data.The judgment accuracy is up to 98.82%and 94.29%respectively,with good sen-sitivity.It indicates that the warning model based on neural network model performs fairly well as ex-pected.

military infrastructurerisk early warningneural network

彭艳、廖岸、吉强

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海军工程大学 管理工程与装备经济系,武汉 430033

陆军勤务学院 训练基地,重庆 401331

92665部队,湖南 张家界 427000

军队基本建设 风险预警 神经网络

国家社会科学基金资助项目

2022-SKJJ-B-035

2024

海军工程大学学报
海军工程大学

海军工程大学学报

CSTPCD北大核心
影响因子:0.34
ISSN:1009-3486
年,卷(期):2024.36(2)
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