Abstract:
In view of the defect of traditional water quality evaluation model, based on fuzzy neural network theory, a new model of fuzzy neural network (FNN) comprehensive evaluat...Show MoreMetadata
Abstract:
In view of the defect of traditional water quality evaluation model, based on fuzzy neural network theory, a new model of fuzzy neural network (FNN) comprehensive evaluation is developed to evaluate surface water quality in Suzhou. Fuzzy neural network is a new type neural network consisting radical basis network and compete neural network, which is simple in structure, easy for training and wide used. FNN model is applied to evaluate water quality at representative sections in Suzhou surface area from the year 1999-2002. The results indicate that FNN model is suitable for water quality evaluation. By analysis, it is important to pay attention to bring into effective measures for pollution control.
Published in: 2009 International Conference on Environmental Science and Information Application Technology
Date of Conference: 04-05 July 2009
Date Added to IEEE Xplore: 11 August 2009
Print ISBN:978-0-7695-3682-8
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Bao Liu, Xueqing Wang, Lei Gao, "Overview of the Application of Artificial Intelligence in Several Key Issues of Water Conservancy", 2021 33rd Chinese Control and Decision Conference (CCDC), pp.7458-7465, 2021.
Cites in Papers - Other Publishers (1)
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D. Senthilkumar, D. George Washington, A.K. Reshmy, M. Noornisha, "Multi-task learning framework for predicting water quality using non-linear machine learning technique", Journal of Intelligent & Fuzzy Systems, pp.1, 2021.
