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	Modelling of Network Element by Logical Array Štafa, Václav ; Molnár, Karol (referee) ; Škorpil, Vladislav (advisor) This Master’s Thesis includes introduction the field programmable logic and their NetFPGA platform developed in the context of its use for routing using neural networks. Current routing protocols and routing methods. Furthermore, the issue of neural networks with a focus on the Hopfield network for data network routing. Detailed record
	Application of neural networks in telecommunications Šulák, Michal ; Koula, Ivan (referee) ; Kacálek, Jan (advisor) This Master’s Thesis consists of description of current routing protocols and routers, basic principles of neural networks and their interpretation in connection with the use for routing in data networks and telecommunications networks. In the thesis I focused on neural networks, which use energetic functions to find solution stabled states and their use for data routing. I produced the application software to test and find suitable variables for each function. This application counts the shortest path and is able to change variables to reach the best solution of stabled state of neural network. These solutions are compared with other functions that are usually used in nowadays systems for data network routing. Detailed record
	Modelling of Network Element by Logical Array Štafa, Václav ; Molnár, Karol (referee) ; Škorpil, Vladislav (advisor) This Master’s Thesis includes introduction the field programmable logic and their NetFPGA platform developed in the context of its use for routing using neural networks. Current routing protocols and routing methods. Furthermore, the issue of neural networks with a focus on the Hopfield network for data network routing. Detailed record
	Application of neural networks in telecommunications Šulák, Michal ; Koula, Ivan (referee) ; Kacálek, Jan (advisor) This Master’s Thesis consists of description of current routing protocols and routers, basic principles of neural networks and their interpretation in connection with the use for routing in data networks and telecommunications networks. In the thesis I focused on neural networks, which use energetic functions to find solution stabled states and their use for data routing. I produced the application software to test and find suitable variables for each function. This application counts the shortest path and is able to change variables to reach the best solution of stabled state of neural network. These solutions are compared with other functions that are usually used in nowadays systems for data network routing. Detailed record

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