Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Research on Fusion Technology of Fuzzy System and Neural Network

Authors
Li Yang
Corresponding Author
Li Yang
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.288How to use a DOI?
Keywords
fusion technology, fuzzy system, neural network
Abstract

The application of fuzzy reasoning and neural network in information fusion has its own merits. In contrast, the advantage of fuzzy reasoning lies in its strong ability of knowledge expression, its internal model structure and reasoning results are easy to understand, the disadvantage is that learning is limited, knowledge acquisition is difficult; Learning ability, the disadvantage is that neural network in the training process to obtain knowledge is a "hidden" way stored in the network, the model for the network structure is difficult to give a reasonable explanation. To this end, the combination of the two, avoid weaknesses, both for information fusion technology the only way.

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 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.288
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.288How 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  - Li Yang
PY  - 2017/04
DA  - 2017/04
TI  - Research on Fusion Technology of Fuzzy System and Neural Network
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1528
EP  - 1532
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.288
DO  - 10.2991/icmmct-17.2017.288
ID  - Yang2017/04
ER  -