Research on the algorithmic financial business operation of financial intelligence

Abstract

In the steady development of social economy, the technology theory with the computational intelligence method as the core is widely used in the financial business operation, based on artificial neural network and evolutionary algorithm for theoretical improvement and application innovation, can really achieve the development of financial intelligence. Intelligent finance, as an important link to accelerate industrial intelligent upgrading, has a large gap between its overall development level and that of developed countries, and scientific research institutions and industrial enterprises have not formed an ecosystem and industrial chain with international influence. Therefore, based on understanding the development status of financial business in China, this paper puts forward a network model based on SOM neural network, and the clustering simulation experiment analysis of listed companies in some region. The final results show that the research network model in this paper has stronger clustering ability, lower computational complexity, and faster convergence speed of practical work, which has a positive impact on the development of financial intelligence in the new era.