Patent ID: 11934488
Assignee: CHINA UNIVERSITY OF PETROLEUM (EAST CHINA)
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The method for constructing a digital rock according to claim 3, wherein the training the discriminator network using the fake sample set and the sample set to obtain a discriminator network model comprises:
extracting N sub-samples from the sample set, and inputting the N sub-samples into the discriminator network to calculate a first discriminator loss function;
calculating a first discriminator gradient of each layer of the discriminator network using the first discriminator loss function;
extracting N first fake digital rock images from the fake sample set, and inputting the N first fake digital rock images into the discriminator network to calculate a second discriminator loss function;
calculating a second discriminator gradient of each layer of the discriminator network using the second discriminator loss function;
adding the first discriminator loss function and the second discriminator loss function to obtain the discriminator loss function; and
optimizing the discriminator loss function using the first discriminator gradient, the second discriminator gradient, and a mini-batch gradient descent algorithm to obtain optimal discriminator network parameters, and obtaining the discriminator network model based on the optimal discriminator network parameters, wherein the discriminator network parameters are a weight and bias of each layer of the discriminator network.