摘要
市场经济环境下企业管理成本的智能化预测为企业快速、高效决策提供了数据支撑,有助于企业的健康发展。针对企业管理成本影响因素多、传统预测技术智能化水平低的问题,采用烟花算法对随机森林算法的参数进行优化,同时借助Informatica软件对影响企业管理成本的各种因素进行管理、集成,依次作为预测模型的输入。将构建的企业管理成本智能化系统应用于零售业企业和制造业企业中,分析了导致企业管理成本较高的原因,为企业发展决策的制定提供了一定的参考。
The intelligent prediction of enterprise management costs in the market economy environment provides data support for rapid and efficient decision-making,which is conducive to the healthy development of enterprises.In response to the problem of multiple factors affecting enterprise management costs and low intelligence level of traditional prediction techniques,the fireworks algorithm is used to optimize the parameters of the random forest algorithm.At the same time,Informatica software is used to manage and integrate various factors that affect enterprise management costs,which are sequentially used as inputs for the prediction model.The intelligent system for enterprise management costs was applied to retail and manufacturing enterprises and the reasons for the relatively high management costs were analyzed.This provides a certain reference for the formulation of enterprise development decisions.
作者
董文杰
DONG Wenjie(School of Accounting,Dalian University of Finance and Economics,Dalian 116000)
出处
《吉林农业科技学院学报》
2024年第2期57-61,共5页
Journal of Jilin Agricultural Science and Technology University
基金
辽宁省教育厅基本科研项目(LJBKYF2021001,LJKMR20221957)。
关键词
大数据技术
随机森林
烟花算法
管理成本智能化预测
big data technology
random forest
fireworks algorithm
intelligent prediction of management costs
