Research on the Application of financial Robot Automation under HRC
Pengxiang Liao, Shudong He · 2023
The era of big data leads the development of robots, the application of artificial intelligence is more and more widespread, and the application of robots has become very normal. Based on the background of intelligent finance, this paper studies the application design and application strategy of automation technology in financial robots, in order to improve the efficiency and effect of enterprise data information processing and promote the construction of intelligent. This paper puts forward a design framework, which reflects the man-machine combination hypothesis under the intelligent mode, and promotes the development of financial informatization. In addition, this paper proposes a financial robot risk prediction model based on graph convolutional networks for diagnosing risk information (R-GCN) in financial lending. Finally, the effectiveness of our proposed model was verified through experimental results.