Research on Heilongjiang Supply Chain Finance Development Model Based on Fast k-Nearest Neighbor Algorithm

In order to further tap Heilongjiang's financial market and stabilize the economic environment. A supply chain finance development model of Heilongjiang Province based on fast k-nearest neighbor algorithm is proposed. By calculating the current financial circulation coefficient of Heilongjiang...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) s. 303 - 307
Hlavní autor:	Zhang, Shuli
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.09.2019
Témata:	Analytical models Economics fast k-nearest neighbor algorithm Finance Financial development model Heilongjiang province Industries Solid modeling Supply chain Supply chains
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	In order to further tap Heilongjiang's financial market and stabilize the economic environment. A supply chain finance development model of Heilongjiang Province based on fast k-nearest neighbor algorithm is proposed. By calculating the current financial circulation coefficient of Heilongjiang supply chain, investigating the market share and potential mining ability of local supply chain, and combining the fast k-nearest neighbor algorithm to calculate the development potential of supply chain finance, the research on the development mode of Heilongjiang supply chain finance is realized. Finally, the experiment proves that the research method of Heilongjiang supply chain finance development model based on fast k-nearest neighbor algorithm has higher practicability and accuracy than the traditional method.
DOI:	10.1109/ICVRIS.2019.00080