Summary: | Abstract In the stock market of China, the rights and interests of small- and medium-sized investors are frequently encroached upon. This criticism makes it an urgent task to effectively restrain the large shareholders and the insiders of the listed companies on the wealth and theft of small and medium investors. The trading data of listed companies show the characteristics of exponential explosion, rapid disclosure of information, and increasing information collection channels. Therefore, in this paper, the BP artificial neural network in data mining was introduced to study the proportion of dividend distribution and equity management. Based on the analysis of the principle and implementation process of BP neural network, the algorithm model was further optimized and updated, establishing a dividend policy identification model with the purpose of protecting the interests of small- and medium-sized investors. The simulation results show that this research has opened up a new research path for the small and medium investors’ equity interests and related policy research.
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