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Este Cmap, tiene informaciĆ³n relacionada con: Neural nets in SFWMD research, adding time series information to develop time delay neural networks, Three neural network modelling methods involved expanding input variables, Measurements of Global Climate Variability include North Atlantic Oscillation, Neural networks in prediction of lake infows explored in Previous Research at S. Florida Water Management District, Previous Research at S. Florida Water Management District were succesful in Tracking Lake Inflow, Data sources include Measurements of Global Climate Variability, Previous Research at S. Florida Water Management District used Back-propagation for training, Tracking Lake Inflow best results for wet months, Previous Research at S. Florida Water Management District used Two Layer Acrchitecture, Hydrologic records from South Florida Water Management District used for Modelling, IHMC Research used Additional Data Sources ?, Data sources provided by various national research centers, Neural networks in prediction of lake infows explored in IHMC Research, South Florida Water Management District funded IHMC Research, Data sources include Measurements of Solar Activity, Measurements of Solar Activity include sunspot number, Previous Research at S. Florida Water Management District used Data sources, Measurements of Global Climate Variability include El Nino Southern Oscillation Index, Three neural network modelling methods involved Recoding input and output (changing data representations), IHMC Research used same Data sources