银行智能风控体系的建设需要依托于大量的模型构建，通过智能感知能力的不断

The construction of the bank's intelligent risk control system needs to rely on a large number of model constructions. Through the continuous improvement of intelligent perception capabilities, the artificial pressure is gradually transferred to promote the improvement of the risk control level. The following two directions are considered: On the one hand, in the conventional Based on matching rules such as information verification and face recognition, data mining algorithms are integrated, and relevant data information is input to complete summary analysis. At the same time, users’ credit risk assessment is carried out through neural network models and other methods, and the model is continuously improved with the improvement of technology and data Accuracy, thereby optimizing its applicability. On the other hand, through the use of new technologies such as knowledge graphs, a dynamic decision-making mechanism is established on the basis of the establishment of a risk control model, and the efficiency of risk screening is improved by automatically identifying fraud factors, and the intelligent perception effect of the risk control system is promoted.

The construction of the intelligent wind control system of banks needs to rely on a large number of model construction, through the continuous improvement of intelligent perception ability to gradually transfer artificial pressure, so as to promote the improvement of wind control level, is now considered from the following two directions: on the one hand, on the basis of conventional information verification, face recognition and other matching rules, into the data mining algorithm, input relevant data information to complete the summary analysis, while the neural network model and other ways to expand user credit risk assessment, and with the improvement of technology, data and other ways to improve the accuracy of the model. To optimize its suitability. On the other hand, by using new technologies such as knowledge map, a dynamic decision-making mechanism is established on the basis of establishing a wind control model, and the efficiency of risk screening is improved by automatically identifying fraud factors, and the intelligent perception effect of wind control system is promoted.

The construction of the bank's intelligent risk control system needs to rely on a large number of model construction, and gradually transfer the artificial pressure through the continuous improvement of intelligent perception ability, so as to promote the improvement of risk control level. Now we consider the following two directions: on the one hand, on the basis of matching rules such as conventional information verification and human face recognition, data mining algorithm is integrated into the matching rules, and relevant data information is input At the same time, with the improvement of technology and data, the accuracy of the model is continuously improved to optimize its applicability. On the other hand, with the help of knowledge mapping and other new technologies, a dynamic decision-making mechanism is established based on the establishment of risk control model. Through automatic identification of fraud factors, the efficiency of risk screening is improved, and the intelligent perception effect of risk control system is promoted.<br>