Application of Decision Tree Intelligent Algorithm in Mathematical Modeling Structure of Automation Control

In order to establish a delay automatic control model with lower control error and better reduction of uplink load, based on existing work, this paper adopted decision tree intelligent algorithm to mathematically model the automatic control. Based on this, this article studied the collaborative scheduling mechanism of decision tree intelligent algorithms and the collaborative scheduling of resources. Firstly, this article analyzed the delay uncertainty in the communication process and adopted a probability graph based method to simplify the probability model composed of delay uncertainty, thereby improving the efficiency of delay automatic control. Next, this article explored an online learning method based on decision tree intelligent algorithms to simplify probability models and model them mathematically. Finally, the communication characteristics of the decision tree intelligent algorithm were simulated and control experiments were conducted on the proposed scheme. The experimental results showed that the CART algorithm achieved the best classification results on the four evaluation indicators of F-Measure, G-Mean, AUROC (Area Under the Receiver Operating Characteristic), and AUPRC (Area Under the Precision Recall Curve) of the diagnostic model for the test dataset established using different modeling methods, with values of 0.92, 0.894, 0.907, and 0.9, respectively.