Artificial neural networks have been applied to pattern recognition, prediction and control because they have abilities of learning, generalization and nonlinear mapping. These conventional neural networks have not had “intelligence” yet. In pattern recognition, the recognition rate can be low when there are some noises in recognized patterns. Not so many neural networks have been reported that introduce the structural and functional characteristics of the brain obtained by the progress of neurophysiology. In this study, we focused on the cerebral neocortex, which is the most developed in human to be compared with the other animals and deals with recognition, language and imagination, introduced its characteristics of uniform, hierarchical, column structures and six layers to neural networks and investigated the possibility of emerging its functional characteristics of the human brain.

This content is only available via PDF.
You do not currently have access to this content.