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Potential application of neural networks in network elements
Babnič, Patrik ; Vymazal, Michal (referee) ; Vychodil, Petr (advisor)
The goal was to get acquainted with the problems of network elements to describe neural networks that can be used to manage such a feature. The theoretical part deals with the neural networks from their inception to the present. It focuses mainly on the network, witch can be used for management control. These are the two network: Hopfield network and Kohonen network. The practical part deals with the network element model and ist implementation. It contains a practical element model using a neural network, witch is controlled by a network element.
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Progressive Usage of Neural Networks in Telecommunication
Babnič, Patrik ; Kacálek, Jan (referee) ; Škorpil, Vladislav (advisor)
The main task of the Master Thesis is introduction into network elements in converget networks. Great importance is put on network elements today, that is why priority resolving is crucial. Theorethical part deals with network elements and neuron networks. Neuron networks were analysed from history to present. The main goal was to develop a neuron network topology able to manage a network element. The developed topology consists of four-layered perceptron network with four inputs and one output. The simulation was carried out on MATLAB software. No real data were used in the simulation. All input values were generated by MATLAB software hence it was a simulation.
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Progressive Usage of Neural Networks in Telecommunication
Babnič, Patrik ; Kacálek, Jan (referee) ; Škorpil, Vladislav (advisor)
The main task of the Master Thesis is introduction into network elements in converget networks. Great importance is put on network elements today, that is why priority resolving is crucial. Theorethical part deals with network elements and neuron networks. Neuron networks were analysed from history to present. The main goal was to develop a neuron network topology able to manage a network element. The developed topology consists of four-layered perceptron network with four inputs and one output. The simulation was carried out on MATLAB software. No real data were used in the simulation. All input values were generated by MATLAB software hence it was a simulation.
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Potential application of neural networks in network elements
Babnič, Patrik ; Vymazal, Michal (referee) ; Vychodil, Petr (advisor)
The goal was to get acquainted with the problems of network elements to describe neural networks that can be used to manage such a feature. The theoretical part deals with the neural networks from their inception to the present. It focuses mainly on the network, witch can be used for management control. These are the two network: Hopfield network and Kohonen network. The practical part deals with the network element model and ist implementation. It contains a practical element model using a neural network, witch is controlled by a network element.
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