Title:
SELF-COMPOSITION MODULE OF ARTIFICIAL NEURAL NETWORK MODEL USING NEURO- BLOCKCHAIN COMBINATION
Document Type and Number:
WIPO Patent Application WO/2018/151366
Kind Code:
A1
Abstract:
According to a self-composition module of an artificial neural network model using a neuro- blockchain combination which is proposed by the present invention, the module self-composes a lower functional model that is a combination of a functional block and a chain by receiving an input of a DNA mission that changes over time, composes an artificial neural network DNA model using a sum of one or more lower functional models, and can thereby self-compose an artificial neural network DNA model having a structure that variably changes over time and according to changes in circumstances, and a human brain mechanism can efficiently be realised using the same.
Inventors:
YOON HEE BYUNG (KR)
Application Number:
PCT/KR2017/002345
Publication Date:
August 23, 2018
Filing Date:
March 03, 2017
Export Citation:
Assignee:
THE DNA SYSTEM (KR)
International Classes:
G06N3/12; G06N3/04; G06N3/08
Foreign References:
| KR20140112839A | 2014-09-24 | |||
| KR20160063965A | 2016-06-07 | |||
| JP2008041085A | 2008-02-21 | |||
| JP2007504576A | 2007-03-01 | |||
| JPH04503876A | 1992-07-09 |
Attorney, Agent or Firm:
KIM, Keon Woo (KR)
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