▎ 摘　　要

NOVELTY - A chemical organic solvent identifying method involves preparing a foam graphene chemical sensor, measuring time-domain resistance change data of foam graphene and chemical reagent, extracting the eigenvector according to the model curve of the interaction between the resistance of the moire and the organic chemical reagent, using the principal component analysis method to reduce the dimension of the extracted eigenvectors, carrying out training of BP neural network, and inputting the feature vectors reduced in dimension into the trained BP neural network to obtain the classification results. USE - Method for identifying chemical organic solvent in a foam graphene chemical sensor. ADVANTAGE - The method can realize accurate identification of the chemical organic solvent in foam graphene chemical sensor without any modification to the sensor. DETAILED DESCRIPTION - A chemical organic solvent identifying method involves preparing a foam graphene chemical sensor, measuring time-domain resistance change data of foam graphene and chemical reagent, extracting the eigenvector according to the model curve of the interaction between the resistance of the moire and the organic chemical reagent, using the principal component analysis method to reduce the dimension of the extracted eigenvectors, carrying out training of BP neural network, and inputting the feature vectors reduced in dimension into the trained BP neural network to obtain the classification results as output to realize the recognition of chemical organic solvents.