Patent ID: 11948063
Assignee: D5AI LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. The method of claim 1, wherein:
the expanded neural network comprises a feedforward neural network that comprises p=0, . . . , P layers where P is greater than or equal to four, where the 0th layer is an input layer, the Pth layer is an output layer, and the p=1, . . . , (P−1) layers are hidden layers, such that, for p=1, . . . , (P−1), the pth layer is between the (p−1)th layer and the (p+1)th layer;
the new node set is for a hidden layer q of the expanded neural network, where q is a value ranging from 1 to (P−1), such that merging the new node set and the base neural network comprises having each node of the new node set:
receive an incoming connection from each of one or more lower-order nodes of the expanded neural network, wherein each of the one or more lower-order nodes of the expanded neural network is on a layer of the expanded neural network ranging from the 0th to the (q−1)th layer of the expanded neural network; and
has an outgoing connection directly connected to one or more higher-order nodes of the expanded neural network, wherein each of the one or more higher-order nodes of the expanded neural network is on a layer of the expanded neural network ranging from the (q+1)th layer to the Pth layer of the expanded neural network.