Command Behavior Evaluation Based on Statistical Learning Modeling

According to the characteristics of command behavior, a command behavior evaluation model based on statistical learning modeling is established, and Gaussian process prediction method is used to evaluate the command behavior. Compared with machine learning methods such as neural network and Support Vector Machine, the output results of Gaussian process have probability meanings and can evaluate the validity and confidence of the predicted results. The algorithm is proved to be effective by comparing it with Support Vector Machine (SVM).