Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

The Application of Morphological Associative Memories in Implicit Learning

Authors
Lijuan Qin, Liyun Wang
Corresponding Author
Lijuan Qin
Available Online April 2017.
DOI
10.2991/emim-17.2017.223How to use a DOI?
Keywords
Implicit learning; Traditional artificial neural networks; Morphological associative memories; Simulation
Abstract

Implicit learning research related to the fundamental problem of the development of human potential, which has increasingly become a hot and difficult in cognitive psychology research. The traditional artificial neural network can successfully simulate implicit learning, but there are many disadvantages in the process of simulation, the efficiency of simulation is also quite low. In this paper, the morphological associative memories (MAM) are used in order to solve the problem. MAM not only dose to realize the simulation of implicit learning, but also it can overcome the various defects that traditional artificial neural network in simulation of implicit learning, the efficiency and effect of simulation is gratifying.

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 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.223How 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  - Lijuan Qin
AU  - Liyun Wang
PY  - 2017/04
DA  - 2017/04
TI  - The Application of Morphological Associative Memories in Implicit Learning
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1108
EP  - 1113
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.223
DO  - 10.2991/emim-17.2017.223
ID  - Qin2017/04
ER  -