Prediction of Dissolved Oxygen Content in Aquaculture of Hyriopsis Cumingii Using Elman Neural Network

Author:

Liu Shuangyin,Yan Mingxia,Tai Haijiang,Xu Longqin,Li Daoliang

Publisher

Springer Berlin Heidelberg

Reference25 articles.

1. Zhang, G., Wang, D.: Advances of the studies on diseases of Hyriopsis cumingii and its control. Journal of Shanghai Fisheries University, 313–317 (September 2005)

2. Li, R.: Advance and trend analysis of theoretical methodology for water quality forecast. Journal of Hefei University of Technology 29(1), 26–30 (2006)

3. Wang, X., Zhao, X., Liu, Z.: Research on Lake Eutrophication Forecasting Methods Based on Grey Theory. Computer Simulation 28(1), 17–19 (2011)

4. Gao, Y.-P., Yu, H., Cui, X.: Prediction model and realization for water quality in an intensive aquaculture based on LM BP neural network. Journal of Dalian Ocean University 23(6), 221–224 (2008)

5. Lee, J.H.W., Huang, Y., Dickman, M., et al.: Neural network modeling of coastal algal Blooms. Ecological Modeling 159, 179–201 (2003)

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