Data-driven traditional Chinese medicine manufacturing process technological parameter optimization method

A data-driven traditional Chinese medicine manufacturing process technological parameter optimization method comprises the steps that the maximum mutual information coefficient (MIC) between traditional Chinese medicine product production process historical technological parameters and product quality is calculated, meanwhile, a quality prediction model (PM-AdaBoost) is constructed, a fitness function is calculated according to the maximum mutual information coefficient and the mean square error of the quality prediction model, and a traditional Chinese medicine product quality prediction model is constructed; the method comprises the following steps: initializing a particle swarm, calculating a fitness function, iteratively updating the speed and position of particles in a process parameter search space for multiple times to obtain key process parameters and an optimized quality prediction model in the production process of traditional Chinese medicine products, and further taking a mean square error of the