摘要
为跨境电商能顺利解决第三方结汇平台的择优甄别问题,首先通过问卷调查法收集商家意愿,再结合文献研究法重构并完善第三方跨境电商结汇平台评价指标体系,构建模糊神经网络模型加以数据训练,使得训练后的模型具有更好的稳定性、预测性和泛化能力。模型可以帮助从事跨境电商领域的商家有针对性地甄别适合的第三方结汇平台,以减少商家在资金结汇环节上的成本。
To successfully solve the third-party exchange settlement platform selection screening problem,this paper first collects the willingness of businesses through questionnaire survey.Combined with literature research method,the evaluation index system of the third-party cross-border e-commerce settlement platform is reconstructed and improved.The fuzzy neural network model is constructed and trained with data to make the mode has better predictability and generalization ability.It can help businesses engaged in cross-border Ecommerce identify suitable third-party foreign exchange settlement platforms,so as to reduce the cost of capital settlement.
出处
《现代管理科学》
北大核心
2021年第3期113-120,共8页
Modern Management Science
基金
江苏省社会科学基金项目(项目编号:19GLD005)。
关键词
跨境电商
结汇平台
模糊神经网络
cross border E-commerce
foreign exchange settlement platform
fuzzy neural network
