The analysis of drought indices forecast using neural networks – Bc. Anna Morozova
Bc. Anna Morozova
Master's thesis
The analysis of drought indices forecast using neural networks
Abstract:
Drought forecasting is a critical component of drought risk management. The presented thesis analyses the forecasting drought indices with Artificial Neural Network (ANN). The indices used are the Standardized Precipitation Index (SPI), the Standardized Precipitation Evaporation Index (SPEI) and the Standardized Soil Moisture Index (SSI). Tested neural network was multilayer perceptron with two hidden …more
Language used: English
Date on which the thesis was submitted / produced: 18. 4. 2017
Thesis defence
- Supervisor: doc. Ing. Petr Máca, Ph.D.
Citation record
ISO 690-compliant citation record:
MOROZOVA, Anna. \textit{The analysis of drought indices forecast using neural networks}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Environmental Sciences. 2017. Available from: https://theses.cz/id/uxoznq/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Fakulta životního prostředíCzech University of Life Sciences Prague
Faculty of Environmental SciencesMaster programme / field:
Landscape Engineering / Water in the Landscape
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