Research And Realization Of The College Financial Management System Based On SSH

In view of the current university financial management systems are mostly designed for routine business process,did not make full use of the existing data resources,resulting in smart financial management,the low level of automation,the use of data mining technology in the construction of university financial management system in the diagnosis and prediction of early warning module,to deal with the financial data,using clustering algorithm the decision tree algorithm,in order to determine the current financial situation in a timely manner,timely find problems and solve.The main work of this paper includes:1,based on the financial diagnosis model,application of RBF neural network algorithm,construct the financial early-warning system,using RBF neural network algorithm to train the parameters of the stages,to solve the general neural network algorithm is time-consuming,the computational complexity of problems at the same time,through the principal component extraction method,reduced RBF neural network algorithm in the input there are more nodes under the condition that the obvious problem of training efficiency,improve the overall efficiency of early warning and forecast;2,design and development of the financial statements and subscribe push function,the user according to their own requirements,submit a request to the server subscription,subscription setting parameters,each server periodically to the user to push the financial diagnosis and early warning report of its needs,provide assistant decision function for management.3.The application of the related theories and techniques of software engineering has realized the main functional modules of the financial management system in Colleges and universities.First analyzes the function and performance requirements of the system,constructs the framework of system and the main function module,and then carried on the detailed discussion on the application of data mining technology in the financial diagnosis and prediction,based on the SSH technology system,realize the main functions of the system.The innovative points of this paper include:1,using the XBRL language to realize the acquisition and consolidation of financial data,to solve the problem of inconsistent format of financial statements,the establishment of unified report format,through the XBRL language source of heterogeneous financial data into a standard format,and preprocess data,to ensure data quality,provide the basis for the processing of financial data;2,according to the actual needs of the financial management of colleges and universities,the construction of financial diagnosis model,through cluster analysis,principal component extraction method,factor decomposition method,data mining method of decision tree,to deal with the related data,facing the financial situation for diagnosis in different layers,the final conclusion is reached,the auxiliary management the decision-making layer.