Application of Classifier Model Based on BP Neural Network in Financial Analysis Field

With the vigorous development of the economic industry, various types of financial management mechanisms have become the basic trend in the development process of the company, and gradually enhance the basic management attention of each company's analysis field. In this paper, the basic company financial model under each classification is comprehensively interpreted, and the basic laws and practical effects of different stages are analyzed, so as to infer the force of classifier financial analysis model on the actual company management development field. On this basis, this paper puts forward the BP neural network model innovatively. Starting from the linear maximum interval and its optimal classification integration model, through the economic construction of the operation mode of listed companies, based on the application of research data in practical research, this paper obtains the classifier model based on BP neural network financial analysis application construction system model, and based on this, takes listed companies as the starting point The main classifier Financial Optimization Analysis and the upgrading exercise of BP neural network mode, finally establish the most effective index type, summarize the best benefit of the classifier model financial analysis, in order to achieve the diversification goal of the classifier model financial analysis field constructed by BP neural network.