Patent ID: 11935326
Assignee: SICHUAN UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The face recognition method according to claim 1, wherein the step of encoding the N initial convolutional neural network structures by the indirect encoding approach in step A7 comprises: encoding the convolutional layers, the pooling layers, and the fully-connected layers in the N initial convolutional neural network structures by the indirect encoding approach; wherein
coding information of the convolutional layers comprises: a filter width, a filter height, a number of feature maps, a stride width, a stride height, a convolution type, a standard deviation, and a filter parameter average;
coding information of the pooling layers comprises: a kernel width, a kernel height, a stride width, a stride height, and a pooling type, where the pooling type is a max pooling or an average pooling; and
coding information of the fully-connected layers comprises: a number of neurons, a standard deviation of connection weights, and an average of the connection weights.