Time Series Data Mining Applied Research Based On Artificial Neural Network

At present, data mining is the most important assistant tool of modern enterprises management,which be used to many fields. In our country,it has made great progress,but many problems are still in existence, especially in applicaton faced to specifical problems. Software of faced to application and data mining of visual technology are absent.The inner Information of enterprises can not come into being decision-making information and knowledge,which lags badlly to decision of intelligent, and which leads to low development and behindhand management pattern. So it is needed to provide an application system to solve the problem and improve capcibility for data processing, to help assistant decision for enterprises.The thesis aims to medium-minitype manufacture enterprise, processes the pattern analysis by time serials data.Under the knowledge of expert and advanced management, the neural network took the data mining's tool to forecast sales volume,provider the reasonable decision-making for the production of the enterprise. Can solve the problems of data pre-processing and forcasting for medium-minitype enterprise, has certain effect to the production and development of the enterprise.The thesis systemiclly researched the theory and new technology bansed on time serials data mining, and summarized the general method. Based on it, the thesis built the platform of dynamic BP net, and reserached and realized the key technology.The followings are results of the research:(1) First, proposed the circulation dynamic neural network data forecast frame, and established a application system, in the structure, may complete the actual service for the KDD recurrent work, carries on effective processing to time series data, discovers the data intrinsic rule and the pattern.(2) In the view of the time series transaction data's character, proposed predict transforms data based on the characteristic in smallsample space linear prediction, meanwhile had guaranteed after this the datamining predict the result in precision. (3)Through constructs the recurrent dynamic BP network method carries on forecast, which the dynamic recurrent may intervene, solved network characteristic variable excessively many caused the problem, which network convergence rate reduced. Then use visible programming, union Sensitivity analysis theory, increased the forecast precision and obtains the knowledge, the rule's explanation and the accumulation ability.Finally has produced face terminal user's concrete application system, enables to complete the data processing and the pattern discovered, and facilitates effectively carries on the data forecast. Confirmed in practical application has used the method's efficiency and function. Because the forecast is the extremely complex system, for guarantee model accuracy and solution above question, therefore utilizes the mathematics theoretically analysis and the statistical axiom principle establishment correct data model in this article, and has carried on the confirmation through these principles and the theory to the system model.