National Repository of Grey Literature 13 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Prediction and analysis of traffic using machine learning
Jašek, Filip ; Maršálek, Roman (referee) ; Götthans, Jakub (advisor)
This term paper deals with algorithms and mathematical apparatuses used in Machine Learning. Part of the semestral work is linear regression and classification which deal with the search for optimal parameters which are used for making predictions. Last but not least the work focuses on neural networks and algorithms needed to build them.
Prediction and analysis of traffic using machine learning
Jašek, Filip ; Maršálek, Roman (referee) ; Götthans, Jakub (advisor)
This term paper deals with algorithms and mathematical apparatuses used in Machine Learning. Part of the semestral work is linear regression and classification which deal with the search for optimal parameters which are used for making predictions. Last but not least the work focuses on neural networks and algorithms needed to build them.
Solving optimization problems in lower and upper secondary school
Michal, Jakub
The goal of this diploma thesis is to gather and describe ways the optimisation problems had been solved before the calculus was invented. Some of the methods identified through history are generalised and these which could be utilised at secondary or primary school education are described more in depth. Thesis descri- bes the method, where educator follows historical development of the problem in classroom and what benefits it might bring, as well. There is a section dedicated to evaluation of experiment which goal was to investigate understanding of pupils to certain concepts in the field of optimisation, mainly concerning isoperimetric problem. It was also focused on the pupils fe- edback to different approaches of optimisation problem solving. 1
Analysis of occurrence of extremal values in time and space
Starý, Ladislav ; Volf, Petr (advisor) ; Dvořák, Jiří (referee)
This thesis describes and compares methods for statistical modeling of spatio- temporal data. Methods are extended by examples and numerical studies on real world data. Basic point of interest is statistical analysis of spatial data with unknown correlation structure and known position in space. Further analysis is focused on spatial data with temporal component - spatio-temporal data. Fi- nally, extremal values and their occurrences are discussed. The main aspiration of my thesis is to provide statistical tools for spatio-temporal data and analysis of extremal values of prediction. 1
Frequency analysis of precipitation amounts
Rulfová, Zuzana ; Kyselý, Jan (advisor) ; Holtanová, Eva (referee) ; Picek, Jan (referee)
Title: Frequency analysis of precipitation amounts Author: Mgr. Zuzana Rulfová Department: Department of Atmospheric Physics Supervisor: RNDr. Jan Kyselý, Ph.D., Institute of Atmospheric Physics CAS Abstract: This thesis deals with analysing characteristics of mean and extreme precipitation in observations and regional climate models (RCMs) with respect to their convective and stratiform origin. An algorithm for subdivision of precipitation amounts into predominantly convective and stratiform using station weather data is proposed and evaluated. The time series of convective and stratiform precipitation from the Czech Republic over 1982-2010 are used for analysing basic climatological characteristics of precipitation, including extremes, and evaluating RCMs from the ENSEMBLES project. Projected changes of convective and stratiform precipitation in Central Europe (the Czech Republic) are analysed using data from RCM simulations from the EURO-CORDEX project. The last part of the thesis introduces a new statistical model for analysing precipitation extremes. This model takes advantage from knowledge of origin of precipitation extremes. In future climate we could expect more convective and stratiform precipitation amounts in all seasons except summer, when climate models project decline in amounts of stratiform...
Prediction and analysis of traffic using machine learning
Jašek, Filip ; Maršálek, Roman (referee) ; Götthans, Jakub (advisor)
This term paper deals with algorithms and mathematical apparatuses used in Machine Learning. Part of the semestral work is linear regression and classification which deal with the search for optimal parameters which are used for making predictions. Last but not least the work focuses on neural networks and algorithms needed to build them.
Solving optimization problems in lower and upper secondary school
Michal, Jakub ; Novotná, Jarmila (advisor) ; Pilous, Derek (referee)
The goal of this diploma thesis is to gather and describe ways the optimisation problems had been solved before the calculus was invented. Some of the methods identified through history are generalised and these which could be utilised at secondary or primary school education are described more in depth. Thesis descri- bes the method, where educator follows historical development of the problem in classroom and what benefits it might bring, as well. There is a section dedicated to evaluation of experiment which goal was to investigate understanding of pupils to certain concepts in the field of optimisation, mainly concerning isoperimetric problem. It was also focused on the pupils fe- edback to different approaches of optimisation problem solving. 1
Prediction and analysis of traffic using machine learning
Jašek, Filip ; Maršálek, Roman (referee) ; Götthans, Jakub (advisor)
This term paper deals with algorithms and mathematical apparatuses used in Machine Learning. Part of the semestral work is linear regression and classification which deal with the search for optimal parameters which are used for making predictions. Last but not least the work focuses on neural networks and algorithms needed to build them.
Frequency analysis of precipitation amounts
Rulfová, Zuzana ; Kyselý, Jan (advisor)
Title: Frequency analysis of precipitation amounts Author: Mgr. Zuzana Rulfová Department: Department of Atmospheric Physics Supervisor: RNDr. Jan Kyselý, Ph.D., Institute of Atmospheric Physics CAS Abstract: This thesis deals with analysing characteristics of mean and extreme precipitation in observations and regional climate models (RCMs) with respect to their convective and stratiform origin. An algorithm for subdivision of precipitation amounts into predominantly convective and stratiform using station weather data is proposed and evaluated. The time series of convective and stratiform precipitation from the Czech Republic over 1982-2010 are used for analysing basic climatological characteristics of precipitation, including extremes, and evaluating RCMs from the ENSEMBLES project. Projected changes of convective and stratiform precipitation in Central Europe (the Czech Republic) are analysed using data from RCM simulations from the EURO-CORDEX project. The last part of the thesis introduces a new statistical model for analysing precipitation extremes. This model takes advantage from knowledge of origin of precipitation extremes. In future climate we could expect more convective and stratiform precipitation amounts in all seasons except summer, when climate models project decline in amounts of stratiform...
Frequency analysis of precipitation amounts
Rulfová, Zuzana ; Kyselý, Jan (advisor)
Title: Frequency analysis of precipitation amounts Author: Mgr. Zuzana Rulfová Department: Department of Atmospheric Physics Supervisor: RNDr. Jan Kyselý, Ph.D., Institute of Atmospheric Physics CAS Abstract: This thesis deals with analysing characteristics of mean and extreme precipitation in observations and regional climate models (RCMs) with respect to their convective and stratiform origin. An algorithm for subdivision of precipitation amounts into predominantly convective and stratiform using station weather data is proposed and evaluated. The time series of convective and stratiform precipitation from the Czech Republic over 1982-2010 are used for analysing basic climatological characteristics of precipitation, including extremes, and evaluating RCMs from the ENSEMBLES project. Projected changes of convective and stratiform precipitation in Central Europe (the Czech Republic) are analysed using data from RCM simulations from the EURO-CORDEX project. The last part of the thesis introduces a new statistical model for analysing precipitation extremes. This model takes advantage from knowledge of origin of precipitation extremes. In future climate we could expect more convective and stratiform precipitation amounts in all seasons except summer, when climate models project decline in amounts of stratiform...

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