Research On Enterprise Financial Outsourcing Contractor Selection Based On BP Neural Network

As the market matures, enterprise competition intensifies, limited resources hasbecome a bottleneck in the development of today's enterprise. In order to improving themarket share and competitiveness, The enterprise will outsource non-core or accessibilityto professional contractors, and use the professional contractor's specialty and experienceto operating. Financial outsourcing is a kind of outsourcing, At present, many enterpriseshave applied financial outsourcing in financial management field. However, how toscientifically and reasonable select contractors in the implementation of outsourcing has alot of difficulty. Therefore, building a reasonable evaluation index system is veryimportant, and it will help the development of enterprises.First of all, Through study the research of domestic and foreign scholars, this paperdescribes outsourcing and other related financial concepts, summarizes the background,content and the basic principle the of financial outsourcing, mainly describes the financialoutsourcing operation theory, what's more, combined with the contractor choice requestand the characteristic, it put forward the enterprises to choose the contractor's six steps.Secondly, combined with evaluation contractor causes and focus, it build financialoutsourcing evaluation index system under five index principles, this paper surveyed30financial outsourcing contractors questionnaire, creates BP neural networkuse in theMATLAB software. Through27sample data learned and trained on the neural network,the remaining data simulated, it build a set well training BP neural network.this can helpenterprises to evaluate contractors scientifically.Finally, using the trained the BP neural network, this paper analyses the suitablecontractor to the trade company of Shijiazhuang, and shows the method and process, Inorder to improve the competitiveness of enterprises, it raise several points for improvefinancial outsourcing.