Invention Grant
- Patent Title: Neural network generation method for neuromorphic computing and apparatus for the same
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Application No.: US16894276Application Date: 2020-06-05
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Publication No.: US11630992B2Publication Date: 2023-04-18
- Inventor: Yong-Joo Kim , Tae-Ho Kim , Eun-Ji Pak , Young-Mok Ha
- Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Applicant Address: KR Daejeon
- Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
- Current Assignee Address: KR Daejeon
- Priority: KR10-2019-0081141 20190705,KR10-2020-0047906 20200421
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/063 ; G06N3/02

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.
Public/Granted literature
- US20210004666A1 NEURAL NETWORK GENERATION METHOD FOR NEUROMORPHIC COMPUTING AND APPARATUS FOR THE SAME Public/Granted day:2021-01-07
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