Loss Of Secondary Vocational Students State Intelligence Analysis System Design And Implementation

Business Intelligence (Business Intelligence, abbreviated BI), knowledge is foundby processing large amounts of data from the implicit or explicit association betweendata and associated data into decision-making and implementation, and dealt withaccordingly basis. The specific application of business intelligence business intelligencesystems, business intelligence system in our perceptual knowledge into rationalknowledge and facts. And through this knowledge and facts to assist ourdecision-making.The artificial neural network (based Artificial Neural Network, abbreviations, ANN)to simulate the human brain synaptic connections, network model, commonly used inthe processing similar to the neural signal data computing. Its powerful processingcapabilities and in parallel, the advantages of nonlinear processing has been widely usedin various fields.In particular, large amounts of data by artificial neural network trainingcan assist system for data processing modeling.The students of this program in secondary vocational schools is a huge loss of thestatus quo as the background, elaborated intelligent analysis system combined withartificial neural network and business intelligence system features built in the loss ofvocational students build process. From the selection of artificial neural networkstructures, improvements to organize data on the neural network training and testing, tothe generation of specific functions.From the data mart technology choice to build thefact tables, dimension tables and data to a simple tap online analytical processing(OLAP). By B/S structure of the system architecture, the characteristics of the twotechnologies combine to meet the needs of daily data processing.From the effect after the trial of the system running for some time, and basicallycomplete the design goal. Solve the original to prevent the loss of students in someproblems, and effect prediction for decision-makers pre-implementation decisionmaking through intelligent forecasting function. Fundamental will be the managementof the loss of students from the experience transfer to digital, from blurring to clear from the no start, out of nowhere to be targeted to make a difference.