Self-composition Of Artificial Neural Network Model Using Neuro-blockchain Combination

  • Published: Aug 7, 2017
  • Earliest Priority: Feb 16 2017
  • Family: 2
  • Cited Works: 0
  • Cited by: 0
  • Cites: 0
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Abstract

The present invention relates to an autonomous composition module of an artificial neural network model using a neuro-block chain combination. More specifically, the autonomous composition module of an artificial neural network model using a neuro-block chain combination composes a deep learning-based artificial neural network, and comprises: an input unit to receive a DNA mission; a submodel composition unit composing a functional submodel in response to a mission module composing the DNA mission; and a DNA model composition unit composing an artificial neural network DNA model which is a sum of one or more functional submodels composed by the submodel composition unit. According to the autonomous composition module of an artificial neural network model using a neuro-block chain combination, the DNA mission is received to autonomously compose the functional submodel and compose the artificial neural network DNA model by the sum of one or more functional submodels to autonomously compose the artificial neural network DNA model of a structure varying in accordance with a flow of time and a change of a situation to effectively implement a human brain mechanism.


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Document History
  • Publication: Aug 7, 2017
  • Application: Feb 16, 2017
    KR KR 20170021283 A
  • Priority: Feb 16, 2017
    KR KR 20170021283 A

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