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Combination of numerical mathematics and neural network for the model of breakout prediction
Srba, Jan ; Štětina, Josef (referee) ; Mauder, Tomáš (advisor)
This thesis deals with creation of breakout prediction model implemented via artificial neural network in MATLAB, hence it contains theoretical description of artificial neural networks and also presents how the networks were used for the breakout prediction problem. In addition, models of heat conduction through the mold wall were created and used for generating neccesary data for proper training of artificial neural network. The thesis contains proper description of used numerical methods for solving the heat conduction problems. In the thesis are presented partial results and also results of testing created artificial neural network with usage of real data.
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Minimization of the car fuel consumption on the route elevation profile
Srba, Jan ; Klimeš, Lubomír (referee) ; Mauder, Tomáš (advisor)
This thesis deals with mathematical modelling of the fuel consumption of a vehicle going on the route described by its elevation profile. It contains fundamentals of vehicle longitudinal dynamics which are essential for creating the model. The main goal of this thesis is to minimize the fuel consumption on given route using heuristic algorithms, hence a description of used heuristic algorithms and results of their implementation in MATLAB are presented.
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Combination of numerical mathematics and neural network for the model of breakout prediction
Srba, Jan ; Štětina, Josef (referee) ; Mauder, Tomáš (advisor)
This thesis deals with creation of breakout prediction model implemented via artificial neural network in MATLAB, hence it contains theoretical description of artificial neural networks and also presents how the networks were used for the breakout prediction problem. In addition, models of heat conduction through the mold wall were created and used for generating neccesary data for proper training of artificial neural network. The thesis contains proper description of used numerical methods for solving the heat conduction problems. In the thesis are presented partial results and also results of testing created artificial neural network with usage of real data.
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Minimization of the car fuel consumption on the route elevation profile
Srba, Jan ; Klimeš, Lubomír (referee) ; Mauder, Tomáš (advisor)
This thesis deals with mathematical modelling of the fuel consumption of a vehicle going on the route described by its elevation profile. It contains fundamentals of vehicle longitudinal dynamics which are essential for creating the model. The main goal of this thesis is to minimize the fuel consumption on given route using heuristic algorithms, hence a description of used heuristic algorithms and results of their implementation in MATLAB are presented.
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