Fig. 3.

Schematic diagram of common algorithms in AI. a SVM are supervised learning models used to analyze the classification and regression of data. b RFs are an ensemble learning method that use multiple trees to train and predict samples. c CNNs are composed of layers of stacked neurons that can learn complex functions. d Reinforcement learning algorithms are used to train the action of an agent on an environment. Abbreviations: SVM, support vector machine; RF, random forest; CNN, convolutional neural networks