Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)

An Improved Brain Storage Model

Authors
Kang Feng
Corresponding Author
Kang Feng
Available Online August 2017.
DOI
10.2991/itim-17.2017.11How to use a DOI?
Keywords
Single fuzzy cognitive unit event, brain models, perception, memory architecture, cognitive systems
Abstract

In order to correct the shortcomings of the former brain storage model, an improved brain storage model was proposed, it consisted of a memory bank and a series of sub-storages. These sub-storages were concluding sub-storage, effective search sub-storage, storing sub-storage, recalls sub-storage and forgetting sub-storage. The input formation of the improved brain storage model was single fuzzy cognitive unit event. Experimental results demonstrated that the model was able to simulate storage functions of the brain, such as concluding, storing, recalling and forgetting. So the improved brain storage model is optimal.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
August 2017
ISBN
10.2991/itim-17.2017.11
ISSN
1951-6851
DOI
10.2991/itim-17.2017.11How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kang Feng
PY  - 2017/08
DA  - 2017/08
TI  - An Improved Brain Storage Model
BT  - Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
PB  - Atlantis Press
SP  - 41
EP  - 44
SN  - 1951-6851
UR  - https://doi.org/10.2991/itim-17.2017.11
DO  - 10.2991/itim-17.2017.11
ID  - Feng2017/08
ER  -