关键词: PID控制, 贝叶斯学习算法, 机器学习, 芯片烘箱

Abstract: The naive Bayes classifier to analyze and process the multi-generation error and error variation of the PID temperature control without oxidation oven historical are used to evaluate the effectiveness of the current control and the rationality of the parameter settings. Combined with expert control system, a parameter self-tuning machine learning method is proposed to realize intelligent control of equipment. Based on this method, a program algorithm for automatic data collection and Bayesian learning training and verification is designed.

Key words: PID control, Bayesian learning algorithm, machine learning, chip oven