Statistics, Probability and UncertaintyManagement of Technology and InnovationManagement Science and Operations ResearchModeling and SimulationStrategy and ManagementNumerical AnalysisComputational Theory and Mathematics
Maria J. Diamantopoulou, Dimitris M. Papamichail, Vassilis Z. Antonopoulos
This paper is concerned with the use of Neural Network models for the prediction
of water quality parameters in rivers. The procedure that should be followed in
the development of such models is outlined. Artificial Neural Networks (ANNs)
were developed for the prediction of the monthly values of three water quality
parameters of the Strymon river at a station located in Sidirokastro Bridge near
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