Dissolved Oxygen Prediction Model of Crab Culture Industry Based on fuzzy neural network
- 10.2991/mmme-16.2016.125How to use a DOI?
- water quality of aquaculture; dissolved oxygen prediction; FNN
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).
- © 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
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 -