Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering

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Dissolved Oxygen Prediction Model of Crab Culture Industry Based on fuzzy neural network

Authors
Ting Li
Corresponding Author
Ting Li
Available Online October 2016.
DOI
10.2991/mmme-16.2016.125How to use a DOI?
Keywords
water quality of aquaculture; dissolved oxygen prediction; FNN
Abstract

This article proposes a dissolved oxygen prediction model for water quality about aquaculture to solve the problems like low accuracy and poor robustness of traditional prediction methods about water quality based on principal component analysis (PCA), fuzzy neural network (FNN), and differential evolution combined with BP algorithm (DEBP).

Copyright
© 2016, 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 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-221-3
ISSN
2352-5401
DOI
10.2991/mmme-16.2016.125How to use a DOI?
Copyright
© 2016, 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

risenwbib
TY  - CONF
AU  - Ting Li
PY  - 2016/10
DA  - 2016/10
TI  - Dissolved Oxygen Prediction Model of Crab Culture Industry Based on fuzzy neural network
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 531
EP  - 532
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.125
DO  - 10.2991/mmme-16.2016.125
ID  - Li2016/10
ER  -