The Study Of Accounting Recognition Based On BP Artificial Neural Network

Environment is the logical starting point for accounting innovation. With the development of technology and the globalizat ion of economic activity, social development has entered a new era of information economy as the representative of e-commerce. Developm ent of information technology has brought efficient and convenient mode of information processing to all walks of life, and made accounting f or the survival of the external environment undergoing great changes. Traditional accounting theory and accounting are facing serious challenges. Currently, the store e-commerce business process data transfer, electronic data summary are the following manner, manual handling tradit ional accounting confirmation process has not well adapted to the tide of information, the use of information technology to achieve business data to automate accounting data processing has become a trend. Along with the accounting treatment of the whole process, accounting recognition is the key to generate accounting data. Its quality processed directly determine the final output from the financial reporting information quality and efficiency. Therefore, it is necessary to grasp t he link of generating accounting data, rethink accounting recognition process electricity supplier environment, fully draw on the impact of information technology on data processing mode change.Starting from the concept of accounting recognition, the paper has analyzed the characteristics of the process under way different technical means, has studied on the accounting recognition data processing according to the time series, has summarized the lim itat ions of traditional accounting recognition process and future trends, has combed the status of the data processing e-commerce environment accounting recognition of the shop. In this research, using the survey method and computer simulat ion, by confirming the shop back-office operations for the accounting process of collection cases, the use of semantic model of the REA process described business information to achieve machine ident if ication of business events, the use of artificial Neural network model business data to the accounting information processing simu lat ion memory, automatically complete e-commerce background accounting recognition, accounting for the overall intelligent information system provides a platform.The innovation of this paper lies in:(1) theoretical innovat ion: this topic research, with the aid of the BP art ificial neural network theory to explore in the field of accounting, the application of the pattern recognition of artificial intelligence to accounting elements confirmation process, realizes the cross between different theory is applied, the theory of the continuous development of information technology in the application of the accounting profession has certain reference significance.(2) the research innovation: to store all kinds of economic business activities using XML semantic model, set up machine recognition mechanism, simultaneously through the online store has all kinds of economic business accounting dealing with the case study, the BP network model to master the basic standards of accounting elements confirmation process, es tablish the accounting elements confirmation platform, in the new economic business activit ies can automate accounting, to build a more efficient business financial information integration provides a new attempt.