Research on Workload Intelligent Analysis Algorithm Based on Fuzzy Cluster and Radial Basis Function Neural Network
Aimed at the problems of the traditional medical workload evaluation and analysis algorithm,such as longer training time and insufficient accuracy of analysis results,this paper proposes a workload intelligent analysis algorithm based on fuzzy cluster and radial basis function neural network.The proposed algorithm preprocesses the performance data in the medical hu-man resource system,obtains the optimal cluster center required for the training of the neural network through the fuzzy cluster algorithm and the orthogonal least squares method,uses the cluster center to train the constructed radial basis function neural network to obtain the relevant model,and uses the model to realize the intelligent analysis of workload.The experimental re-sults show that the model training performance and data processing speed of the proposed algorithm are better than other simi-lar algorithms,and the accuracy of the processing results can reach more than 91％.
fuzzy clusterradial basis function neural networkorthogonal least squares methoddata preprocessingworkload analysis
万方数据
维普
