Interpretation Technology of the Risk Causes of Management Based on Eigenvalue Disturbance The business management risk refers to the uncertainty of profits brought to enterprises in the process of the enterprise production and operation, which directly threatens the interests of enterprises and the survival and development of industries. Therefore, this paper explores the causes of the business management risks, and explores measures to control the business risks. It has very important practical significance for the daily financial management of enterprises. The perturbation theory of eigenvalues plays an important role in the calculation of the eigenvalue problems. Based on the eigenvalue perturbation problem, this paper explores the causes of the business management risk, and analyses the technology of explaining the causes of the business management risks from a new angle.

The Coding Technology of Operation and Management Risk Characteristics Based on the InDepth Learning In the enterprise risk identification project, the data has the characteristics of the complex data sources and the diverse risks. The traditional feature extraction methods cannot cope with the multiple complex data sources at the same time. In this study, the risk feature extraction based on the single relationship of theindepth learning and the feature coding technology of the risk atlas considering the time series can effectively extract the feature vectors of the risk atlas and avoid them at the same time. It avoids the complexity and blindness of the artificial feature extraction. And it is verified by a largescale organizationxe2x80x99s experiment on the enterprisexe2x80x99s overdue risk. Under the same model framework, the characteristics generated by using the risk feature coding technology are better than those given by the traditional experts under the modelxe2x80x99s various indicators, which provide the strong support for the followup risk identification.