Intelligent Raman spectrum classification method based on convolutional neural network

The invention discloses an intelligent Raman spectrum classification method based on a convolutional neural network, and the method comprises the steps: S1, carrying out the correction of a LabRAM HR Evotion Raman spectrometer through a silicon wafer, and carrying out a Raman experiment; step S2, carrying out pretreatment on the collected Raman spectrum experiment data; s3, constructing a classification model based on a convolutional neural network, wherein the classification model is used for classifying the Raman spectrum data in different preprocessing modes; step S4, data classification: after model construction is completed, randomly dividing the three parts of Raman spectrum data into a training set and a test set according to a ratio of 5: 1, putting the training set and the test set into a convolutional network for training, and performing data analysis after training is completed; and S5, data analysis: carrying out a contrast experiment, analyzing the advantages and disadvantages of a data preproces