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公开(公告)号:US20210004666A1
公开(公告)日:2021-01-07
申请号:US16894276
申请日:2020-06-05
Inventor: Yong-Joo KIM , Tae-Ho KIM , Eun-Ji PAK , Young-Mok HA
Abstract: Disclosed herein are a neural network generation method for neuromorphic computing and an apparatus for the same. The neural network generation method for neuromorphic computing includes selecting at least one part of a brain corresponding to a neural network function requested to be generated by an application, determining whether an existing neural network corresponding to the at least one part of the brain is present in a neural network database, when it is determined that no existing neural network is present in the neural network database, generating new neural network configuration information corresponding to the part of the brain based on a brain information database, generating a new neural network by mapping the new neural network configuration information to neuromorphic hardware based on the new neural network configuration information, and storing the new neural network in the neural network database.