Research on the application of big data in modern financial reform based on genetic algorithm

Abstract

Under the background of the prevailing development of big data technology at this stage, the contribution of its technology to modern economic and financial reforms is also increasing. This paper takes big data technology as the main research theory, combines genetic algorithm with support vector machine, and makes overall planning to study its application analysis in modern economic and financial reform. This article takes the basic concepts of related research as the starting point, from a more comprehensive and effective analysis of my country's current corporate financial reform and innovation, and then introduces the specific methods of modern economic and financial innovation and reform, and how to improve the effectiveness of innovation Sex made some related suggestions. The research results show that support vector machine technology is a new general-purpose machine learning method in recent years, and this article combines it with genetic algorithm, which has certain significance in solving modern economic and financial reforms. In this paper, parameter optimization is carried out to improve the support vector machine in many aspects, and the support vector machine hybrid genetic algorithm is applied to the modern economic and financial reform, and the economic and financial reform model is constructed.