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A Quantitative Model of International Trade Based on Deep Neural Network

This paper is an in-depth study of international trade quantification models based on deep neural networks. Based on an in-depth analysis of global trade characteristics, a summary of existing problems, and a comparative analysis of various prediction methods, this paper constructs the ARIMA model,...

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Detalles Bibliográficos
Autores principales:	Huang, Xiaoxin, Chen, Xiuxiu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173948/ https://www.ncbi.nlm.nih.gov/pubmed/35685150 http://dx.doi.org/10.1155/2022/9811358

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