Patent ID: 11948092
Assignee: NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The brain-inspired cognitive learning method according to claim 1, wherein in step (1c), the RBFNN-BPNN establishes the mapping relationship S[f(e,x)] between the features obtained in step (1b) and the algorithms and hyper-parameters in the memory module to obtain the online algorithm model a∈A and hyper-parameter combination λ∈Λ, wherein e represents data describing the dynamic environment x represents data describing the dynamic task, f represents the features, A represents an algorithm base, a represents an algorithm therein, Λ represents a hyper-parameter base, λ represents a hyper-parameter combination therein, and ∈ is signs of element, indicating that the dynamic environment and the dynamic task come from an external data base.