作　　者： ;

机构地区： 广州城建职业学院

出　　处： 《佳木斯大学学报（自然科学版）》 2021年第2期157-161,共5页

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.

关 键 词： 财务共享 向量机 神经网络 协作施工核算

领　　域： [经济管理—产业经济] [自动化与计算机技术—计算机应用技术] [自动化与计算机技术—计算机科学与技术]