Analysis of vascular robot optimization scheme based on dynamic planning and ARIMA model

Abstract

The study of vascular robots has become a new research hotspot in the interdisciplinary field and is of pivotal importance to the field of minimally invasive therapy. In this paper, we focus on the development of the ordering scheme of vascular robot, establish the optimal ordering model of vascular robot based on the idea of dynamic programming, calculate the minimum operating cost of the ordering scheme through LINGO software programming, and provide a specific weekly ordering scheme for the hospital to order vascular robot. Firstly, the optimal ordering model of the vascular robot is established based on the idea of bottom-up solution of dynamic programming in order to solve the specific to weekly ordering scheme. Second, a mind map format is adopted to sort out the problem, which allows a clearer analysis of the topic conditions. Then, the correctness of the model solution is checked by using segmented programming verification, which enhances the persuasive power of the model. Finally, the principles of machine learning are combined to build.