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基于BAS-SVM的ERP财务管理系统流程优化评价研究

Research on process optimization evaluation of ERP financial management system based on BAS-SVM
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摘要 有机材料企业经营面临巨大压力,引入ERP系统优化财务管理系统流程,实现对财务数据的广泛采集、数据共享与集成,提升企业竞争力。构建了包含12个评价指标的流程优化评价体系,采用BAS对SVM的惩罚系数和核函数参数进行优化,提出了财务管理系统流程优化的评价模型。将该模型应用于实际的有机材料企业财务管理系统流程优化评价中,结果表明BAS-SVM模型的评价准确率明显高于SVM模型,同时实施财务管理系统流程优化的企业评价得分明显高于实施传统财务管理系统的企业,这对提升有机材料财务管理水平,确保企业在激烈市场竞争中占据有利地位具有一定的参考价值。 The operation of organic material enterprises is facing tremendous pressure.The introduction of ERP systems to optimize the financial management system process,achieve extensive collection,data sharing,and integration of financial data,and enhance the competitiveness of enterprises.A process optimization evaluation system including 12 evaluation indicators was constructed,and BAS was used to optimize the penalty coefficient and kernel function parameters of SVM.An evaluation model for process optimization of financial management systems was proposed.Applying this model to the evaluation of the process optimization of the financial management system of an actual organic material enterprise,the results show that the evaluation accuracy of the BAS-SVM model is significantly higher than that of the SVM model,and the evaluation scores of enterprises implementing the process optimization of the financial management system are significantly higher than those of enterprises implementing traditional financial management systems,which can improve the financial management level of organic materials,Ensuring that enterprises occupy a favorable position in the fierce market competition has certain reference value.
作者 刘昱 Liu Yu(Xi'an University of Posts and Telecommunications,shanxi xian,China,710121)
机构地区 西安邮电大学
出处 《现代科学仪器》 2023年第5期192-198,共7页 Modern Scientific Instruments
基金 西安邮电大学教学改革研究项目(编号:JGB202120) 西安邮电大学研究生教育教学改革项目(编号:YJGC202128) 陕西会计学会教育专业委员会教育财会科研项目(编号:2022SB)。
关键词 天牛须搜索算法 支持向量机 财务管理流程优化 企业资源计划 beetle antennae search algorithm support vector machine financial management process optimization enterprise resource planning
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