摘要
随着人工智能等新技术不断发展,财务共享模式也迎来了新的历史发展纪元。针对建筑企业协作施工财务管理过程中的现状,提出了基于支持向量机的协作施工合同资金支付预警模型和基于BP神经网络的分包商信用信用评价模型,选择7个风险指标并设置三种风险等级,建立6个信用评价指标一级指标和20个二级指标。通过模型训练和测试,结果表明具有明显有效性,显著提高资金风险管控能力和保证信用评价的客观性。
With the continuous development of new technologies such as artificial intelligence,the financial sharing model has also ushered in a new historical development era.In view of the status quo in the financial management process of construction enterprises'collaborative construction,this study proposed a support vector machine-based collaborative construction contract fund payment early warning model and a BP neural network-based subcontractor credit evaluation model,selecting 7 risk indicators and setting them three risk levels,6 credit evaluation indicators,first-level indicators and 20 second-level indicators.Through model training and testing,the results show that it has obvious effectiveness,significantly improves the capital risk management and control ability and guarantees the objectivity of credit evaluation.
作者
李庭华
萧健诚
LI Tinghua;XIAO Jiancheng(School of Economics and Management, Guangzhou Urban Construction Vocational College, Guangzhou 510925, China)
出处
《佳木斯大学学报(自然科学版)》
CAS
2021年第2期157-161,共5页
Journal of Jiamusi University:Natural Science Edition
关键词
财务共享
向量机
BP神经网络
协作施工核算
financial sharing
vector machine
BP neural network
collaborative construction accounting