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Construction of forecast model for water flow in the measurement profile
Škarecký, Pavel ; BBA, Šárka Zemanová, (referee) ; Kozel, Tomáš (advisor)
The subject of this bachelor thesis was the construction and calibration of a prediction model for water flow in a specific profile on the river Dyje in the village Podhradí nad Dyjí. The work is divided into theoretical and computational part. The theoretical part describes the transformation of historical data, types of probabilistic models and current drought problems. The computational part describes the stochastic model, the distribution of flows into zones of occurrence and the subsequent determination of the ideal quantile. Finally, the individual settings of the model and the evaluation of the results are compared.
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Use of artificial intelligence methods for flow prediction in specific profile
Škarecký, Pavel ; BBA, Šárka Zemanová, (referee) ; Kozel, Tomáš (advisor)
The subject of this diploma thesis was the construction and calibration of a forecast model for water flow in the specific profile on the river Dyje in the village Podhradí nad Dyjí. The description of the theoretical part describes various prediction models and description of the prediction model using the technique of random walking and a description of neural networks. The practical part was then devoted to the description of the locality of interest, the creation of a prediction model and the use of neural networks as post processing to improve the results.
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Use of artificial intelligence methods for flow prediction in specific profile
Škarecký, Pavel ; BBA, Šárka Zemanová, (referee) ; Kozel, Tomáš (advisor)
The subject of this diploma thesis was the construction and calibration of a forecast model for water flow in the specific profile on the river Dyje in the village Podhradí nad Dyjí. The description of the theoretical part describes various prediction models and description of the prediction model using the technique of random walking and a description of neural networks. The practical part was then devoted to the description of the locality of interest, the creation of a prediction model and the use of neural networks as post processing to improve the results.
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Construction of forecast model for water flow in the measurement profile
Škarecký, Pavel ; BBA, Šárka Zemanová, (referee) ; Kozel, Tomáš (advisor)
The subject of this bachelor thesis was the construction and calibration of a prediction model for water flow in a specific profile on the river Dyje in the village Podhradí nad Dyjí. The work is divided into theoretical and computational part. The theoretical part describes the transformation of historical data, types of probabilistic models and current drought problems. The computational part describes the stochastic model, the distribution of flows into zones of occurrence and the subsequent determination of the ideal quantile. Finally, the individual settings of the model and the evaluation of the results are compared.
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