Affiliations: College of Management, Sichuan Agriculture University, Chengdu, Sichuan, China
Correspondence:
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Corresponding author Xinhong Fu, College of Management, Sichuan Agriculture University, Chengdu, Sichuan, China. E-mail: 12193@sicau.edu.cn.
Abstract: Agricultural industrialization is a major reform and practice in the process of agricultural development and requires theoretical guidance. However, the current theoretical research on financial support for the development of agricultural industrialization is insufficient, which to a certain extent seriously affects the development speed of agricultural industrialization. This paper studies the nature of the part and tail probability of dependent random variable sequences with different distributions, and focuses on the random variable sequences with wide dependent structures, and obtains the relevant probability estimation formulas. At the same time, this paper also considers the application of the main results in complete convergence. Moreover, based on the research on the nature of dependent random variable sequences, the dependent risk model is discussed, which combines Internet finance with the development of agricultural industrialization. In addition, this article uses agricultural industrialization theory and Internet finance theory to study the support of Internet finance for the development of agricultural industrialization in my country. The research results show that the model constructed in this paper has a certain effect.
Keywords: Neural network, internet finance, agriculture, risk factors
