Bp Neural Network-based Business Organization, Innovation And Risk Warning

Organizational innovation is a driver of enterprise' s development, but it has enormous risks, must set up the early warning administrative system of innovative risk .This text aims at through using the technological method of early-warning to carry on comparative analysis to the samples collected , put forward one easy-to-understand and having effective early warning technology of enterprise organizational innovation risk, offer a kind of new way for finding , monitoring and taking precautions against enterprise's organizational innovation risk.First of all, introduced the current studying situation both at home and abroad of enterprise' s organizational innovation and organizational innovation risk early-warning, have explained the basic theories and the compositions of enterprise' s organizational innovation risk. Secondly , have studied the theory model of early warning management of enterprise' s organizational innovation risk, including four parts: risk discern , risk analysis , risk control and study afterwards.Draw lessons from it about enterprise' s risk early warning index system both at home and abroad, set out from innovating actually, set up organizational innovation risk early warning index system; On the methods of early-warning , improve BP neural network and introduced in enterprise's organizational innovation . On the basis of the thing that the advantage and disadvantage to the neural network is analyzed thoroughly , introduce Principle Component Analysis and Rough set to simplify the early warning index system . PCA is it take dimension lowering method to find out several comprehensive factor is it represent numerous variable originally to come, make comprehensive factor these reflect information of variable originally as much as possible, but also...