Intelligent control of the grinding and classificationsystem based on fuzzy RBF neural network

Based on RBF neural network and fuzzy theory, an intelligent control method, which can effectively overcome disturbance resulting from grinding efficiency and cyclone’s inlet pressure, is proposed. This method that can make grinding concentration and overflow particle size well proportioned will allow us to improve flotation grade and increase yield, and therefore realize the optimization of grinding and classification process. The present method is of simple analysis, less time of network learning and training. And high learning precision is high. The simulations show that our approach can also be applied to the control systems that are difficult to build accurate math model.     

Fuzzy fault diagnosis for a regenerative heating systembased on a Kohonen neural network

Twelve typical faults and fuzzy treatment of nine symptom parameters were analyzed. A fault diagnosis method for a fuzzy Kohonen neural network was proposed based on diagnostic working principles and specific features of a Kohonen neural network. The application of the method shows the following merits: a self learning function, rapid operating speed, and strong grouping capability. The fuzzy Kohonen neural network can diagnose single and multiple faults. It is an effective and suitable method for fault diagnosis of the regenerative heating system of the steam turbine unit.     

Design and application of hospital service info structurebased on medical knowledge flow

To counter deficient medical knowledge sharing and the low efficiency cooperative diagnosis between doctors, the knowledge flow from knowledge management (KM), knowledge acquisition and knowledge supply are established as the core info structure of a hospital KM model. This is done by combining heavy idea exchange, frequent updating, and intensive use of the medical knowledge. Three important knowledge flow(KF) operations (knowledge refreshing, knowledge migration and knowledge expansion) are proposed. By comparing hospital information management with hospital KM, a hospital KM method based on knowledge flow is constructed. The method emphasizes tracking, monitoring and controlling hospital wide comprehensive process of medical knowledge. A specific clinical diagnosis instance is given for detailed healthcare knowledge flow analysis. 