Advances of the studies on diseases of Hyriopsis cumingii and its control, Journal of shanghai fisheries university, pp.313-317, 2005. ,
Advance and trend analysis of theoretical methodology for water quality forecast, Journal of hefei university of technology, vol.29, issue.1, pp.26-30, 2006. ,
Research on Lake Eutrophication Forecasting Methods Based on Grey Theory, Computer Simulation, vol.28, issue.1, pp.17-19, 2011. ,
Prediction model and realization for water quality in an intensive aquaculture based on LM BP neural network, Journal of Dalian Ocean University, vol.23, issue.6, pp.221-224, 2008. ,
Water quality forecast through application of BP neural network at Sifangtai, Journal of Harbin Institute of Technology, issue.6, pp.4162-66, 2010. ,
Prediction of water quality index in Qiantang River based on BP neural network model, Journal of Zhejiang University(Engineering Science, issue.2, pp.41361-364, 2007. ,
Water quality parameter forecast based on grey neural network modeling, Journal of Computer Applications, vol.29, issue.6, pp.1529-1531, 2009. ,
DOI : 10.3724/SP.J.1087.2009.01529
Study of GM (1,1) model and its application in forecast of the water quality, Marine Science Bulletin, vol.28, issue.4, pp.116-120, 2009. ,
Water Quality Early Warning System for Intensive Aquaculture of Paralichthys, 2008. ,
Development of a neural network for dissolved oxygen in seawater, Indian Journal of Marine Sciences, vol.38, issue.2, pp.151-159, 2009. ,
Dissolved Oxygen Prediction in Apostichopus Japonicus Aquaculture Ponds by BP Neural Network and AR Model, Sensor Letters, vol.8, issue.1, pp.95-101, 2010. ,
DOI : 10.1166/sl.2010.1208
Prediction ofData from Pollution SourcesBased on Elman NeuralNetwork, Journal of South ChinaUniversity ofTechnology, pp.135-138, 2009. ,
Dissolved Oxygen Fuzzy System Predicting Model in Aquaculture Pond Based on Neural Network, Journal of Anhui Agricultural Sciences, pp.18868-18870, 2010. ,
Finding Structure in Time, Cognitive Science, vol.49, issue.2, pp.179-211, 1990. ,
DOI : 10.1207/s15516709cog1402_1
Memory neuron networks for identification and control of dynamical systems, IEEE Transactions on Neural Networks, vol.5, issue.2, pp.306-319, 1994. ,
DOI : 10.1109/72.279193
Harun Tanyildizi. Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete, Advances in Engineering Software, pp.40856-863, 2009. ,
A Guide to Neural Computing Applications, 1998. ,
Empirical mathematical models and artificial neural networks for the determination of alum doses for treatment of southern Australian surface waters, Aqua, vol.48, issue.3, pp.115-127, 1999. ,
DOI : 10.1046/j.1365-2087.1999.00135.x
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications, Environmental Modelling & Software, vol.15, issue.1, pp.101-124, 2000. ,
DOI : 10.1016/S1364-8152(99)00007-9
Evaluating criteria for enhanced coagulation compliance, J AWWA, vol.89, issue.5, pp.64-77, 1997. ,
A maze learning comparison of Elman, long short-term memory, and Mona neural networks, Neural Networks, vol.23, issue.2, pp.306-313, 2010. ,
Comparison of LLR, MLP, Elman, NNARX and ANFIS Models: with a case study in solar radiation estimation, Journal of Atmospheric and Solar-Terrestrial Physics, vol.7189, pp.975-982, 2009. ,
Short-term predicting model for water bloom based on Elman neural network, Control Conference, pp.218-221, 2008. ,
Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete, Advances in Engineering Software, vol.40, issue.9, pp.856-863, 2009. ,
DOI : 10.1016/j.advengsoft.2009.01.005