Based On Neural Network The Research Of Capital Structure Acting On Financial Performance

In financial management the concept of the capital structure not only reflects the enterprise’s capital structure, the ability to resist risk, etc., also affects the risks and rewards of the enterprises. For listed companies, the most obvious is that can directly affect the company’s stock financing market. So choose to study the effect of corporate capital structure on financial performance is theoretical and practical proposition. In the modern credit capital market conditions, to maintain a reasonable capital structure, to guarantee the stability of the listed companies financial performance, to guarantee the financial management of the enterprise value maximization goal.At present, the domestic scholars on the research of the relationship between the two used the main board market and small and medium-sized board market data, the gem in my our country launched late, so the growth enterprise market research results in this field is very few. At present, the growth enterprise market development from the initial 28 to 379 listed companies(Numbers from the Shenzhen stock exchange website), is developing rapidly. But after the back-door listing, performance is very unstable and the financial risk is higher, so this paper selected the gem enterprise capital structure and financial performance, to listed companies to improve financial performance of the plate and provide the theoretical reference to prevent financial risks and promote the benign development of the gem listing enterprises.This article on the illustration of the corporate capital structure and financial performance based on relevant theories, from the Angle of the theory of preliminary analysis of the influence of capital structure on the company’s financial performance. And then to establish index system, collecting data samples, the gem model, using the empirical results for further analysis. The empirical part firstly adopt the method of descriptive statistics, the analysis of the gem listed companies in China the status quo of capital structure and financial performance; Next, using BP neural network to data between capital structure and financial performance sample model, BP neural network to make use of the training sample training and correction, the error of the desired precision, then the revised inspection samples of BP neural network, effectively analyze gem listed company capital structure and financial performance of the inner link, to choose the appropriate capital structure of listed companies, improve the unreasonable financing system, optimize the allocation of resources to provide the reference, There is the theoretical and practical significance to the GEM listed company market operation.