Molecular insulation strength prediction method and device based on neural network, and medium

The invention discloses a molecular insulation strength prediction method and device based on a neural network and a medium, and the method comprises the steps: obtaining a first molecular descriptor of a to-be-predicted molecule, inputting the first molecular descriptor into a preset prediction model, and carrying out the feature extraction and dimension reduction of the first molecular descriptor through employing a convolution layer and a pooling layer; processing the feature data after dimensionality reduction by using an activation function, transmitting a result obtained by processing to a full connection layer, and performing feature extraction and combination to obtain a prediction result of the molecular insulation strength; wherein the prediction model is obtained by training, verifying and testing the CNN model according to a preset training set, a verification set and a test set. According to the molecular insulation strength prediction method and device based on the neural network and the medium,