Neural and Fuzzy Modelling of Hydrological Data

0425662 - ÚI 2014 CZ eng V - Research Report
Neruda, Roman - Coufal, David
Neural and Fuzzy Modelling of Hydrological Data.
Prague: ICS AS CR, 2012. 51 s. Technical Report, V-1172.
R&D Projects: GA MŠMT OC10047
Institutional support: RVO:67985807
Keywords : environmental modelling * fuzzy systems * neural networks * meta-learning
Subject RIV: IN - Informatics, Computer Science

The main goal of this work is to model flood waves based on runoff and precipitation data. We utilize data from the Smeda rivera catchment provided by the CHMI in order to build several models of flood episodes. Multilayer perceptron networks and Fuzzy system models are used and their performance is compared to traditional hydrological approaches.
Permanent Link: http://hdl.handle.net/11104/0231494