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Usage of the MATLAB environment for neural networks
Lenk, Peter ; Atassi, Hicham (oponent) ; Škorpil, Vladislav (vedoucí práce)
This bachelor thesis discusses the basic theory and modelling of neural networks in the software environment of MATLAB. The thesis can be divided into four parts. After an introduction into the thesis, the theoretical background of the neural netwoks is explained in the first chapter. This chapter features a brief history and a biological background of neural networks and deals with the basic network architectures and the training processes. The next part is the description of how to implement networks in a general way using the MATLAB enviroment, so it deals with preparation of data, creation, simulation and training of a neural network. The last part of the paper covers a design of two excersises created in order to introduce modelling of the neural networks in the MATLAB enviroment to the students.
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Design and implementation of a system for exchange of statistic information on network traffic between access points of WLAN network
Lenk, Peter ; Růčka, Lukáš (oponent) ; Molnár, Karol (vedoucí práce)
This thesis explores the possibilities of implementation of methods for data acquisition in wireless access point MikroTik while using virtualized OpenWRT system. First part of the paper contains short introduction into device’s features and extention of the features by virtualizing the operation system. Design and implementation of the scripts for average load of interfaces data acquisition is in the second part of the paper. The next part deals with the transmission of the gathered data and implementation of the proposed programs in C language. The last part of the paper covers the implementation of a complete program to collect, send and receive data with the option of parameters configuration, and automatic acquisition of the configuration.
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Usage of the MATLAB environment for neural networks
Lenk, Peter ; Atassi, Hicham (oponent) ; Škorpil, Vladislav (vedoucí práce)
This bachelor thesis discusses the basic theory and modelling of neural networks in the software environment of MATLAB. The thesis can be divided into four parts. After an introduction into the thesis, the theoretical background of the neural netwoks is explained in the first chapter. This chapter features a brief history and a biological background of neural networks and deals with the basic network architectures and the training processes. The next part is the description of how to implement networks in a general way using the MATLAB enviroment, so it deals with preparation of data, creation, simulation and training of a neural network. The last part of the paper covers a design of two excersises created in order to introduce modelling of the neural networks in the MATLAB enviroment to the students.
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Design and implementation of a system for exchange of statistic information on network traffic between access points of WLAN network
Lenk, Peter ; Růčka, Lukáš (oponent) ; Molnár, Karol (vedoucí práce)
This thesis explores the possibilities of implementation of methods for data acquisition in wireless access point MikroTik while using virtualized OpenWRT system. First part of the paper contains short introduction into device’s features and extention of the features by virtualizing the operation system. Design and implementation of the scripts for average load of interfaces data acquisition is in the second part of the paper. The next part deals with the transmission of the gathered data and implementation of the proposed programs in C language. The last part of the paper covers the implementation of a complete program to collect, send and receive data with the option of parameters configuration, and automatic acquisition of the configuration.
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