SELF-ADAPTIVE LEARNING ENGINE MODULE BASED ON DEEP LEARNING

摘要

The present invention relates to a self learning module of an artificial neural network model using a neuroblock chain combination. More specifically, the present invention relates to a self learning module of an artificial neural network model using a neuroblock chain combination, Self organizing module; A self-organizing module for self-organizing an artificial neural network DNA model that can be learned on a deep learning basis using the self-organized DNA mission; And a self-learning module for self-learning the self-constructed DNA model. According to the deep learning-based self-adaptive learning engine module proposed in the present invention, by combining self-adaptive technology and deep learning-based learning technology, self-organizing DNA mission and self-organizing artificial neural network DNA model, You can effectively implement the human brain mechanism that grasps missions and models themselves to solve the situation. In addition, the present invention is implemented in a module form and is easy to apply to various systems. Since the self-adaptive learning is performed using structured data and unstructured data, Recommendation and situation action.