2 results about "Bayesian risk" patented technology

The application discloses a real-time multi-dimensional sensitivity evaluation and adaptive security prevention and control method and system for natural resource geographic information. The method comprises the following steps: acquiring real-time natural resource geographic information data; acquiring a preset behavior graph model; updating the preset behavior graph model according to the real-time natural resource geographic information data, thereby obtaining an updated behavior graph model; acquiring an updated node risk vector according to the updated behavior graph model; acquiring a trained Bayesian risk prediction model; inputting the updated node risk vector into the trained Bayesian risk prediction model, thereby obtaining a real-time abnormal behavior recognition result; and generating a personalized prevention and control strategy scheme according to the real-time abnormal behavior recognition result. The application realizes intelligent identification, dynamic evaluation and active protection of natural resource geographic information in the whole life cycle by constructing a multi-dimensional sensitivity quantification model, a dynamic risk perception mechanism based on a graph structure and a real-time updateable security prevention and control strategy.

The application discloses a kind of government affair work order intelligent distribution and efficiency closed loop management method and system, belong to government affair service intelligent processing technical field, the implementation of this method includes: through multimodal fusion classification model processing work order input data, through deep learning model realizes high-precision semantic understanding and entity extraction, generates structured work order entity information;Based on reinforcement learning dynamic decision engine, according to real-time department load state and geographic weight calculation optimal distribution path;Utilize the risk early warning model of bayesian network to monitor the progress of disposal, when the probability threshold triggers when overdue, automatically supervise and deal with.This application realizes the upgrading of the precision, real-time and closed loop of the whole link of work order processing through multimodal fusion classification, reinforcement learning distribution decision and bayesian risk intervention triple technical innovation, solves the problem of insufficient semantic understanding accuracy, lack of dynamic scheduling capability and poor real-time supervision in existing government affair work order system.