Intelligent System Development Based on Empirical Cases of Fitness Index Promoted by Intercity Marathon

Since the reform and opening to the outside world, with the rapid economic development, people's income levels have risen sharply. Inter city marathon has drawn more and more attention from the governments and departments at all levels due to its continuous rapid development characteristics and strong association with the other industries. To meet the diverse social needs and the constantly changing economic environment, this paper presents an intelligent system based on the case study of promoting fitness index of inter-city marathon. The method makes use of the ability of the environment perception and the autonomous behavior decision making of the urban fitness index (hereinafter referred to as UFI for short) to implement the analysis for the influence of the inter city marathon to promote the inter city fitness index. Finally, the analysis of the inter city marathon to promote the inter city fitness index intelligent system shows that intelligent system put forward in this paper can effectively analyze the inter city marathon under the constantly changing social needs so as to meet the dynamic and diverse social needs.