This master's thesis consists of three parts. The theoretical part deals with short-circuit conditions in the electricity supply system and with the method of their calculation. The practical part includes the programming process of a programme; description of programme properties and functionality. The third part contains the verification of an accurate programme calculation of the examples.

The thesis deals with the use of neuronal networks for the control of telecommunication network elements. The aim of the thesis is to create a simulation model of network element with switching array with memory, in which the optimization kontrol switching array is solved by means of the neural network. All source code is created in integrated environment MATLAB. To training are used feed-forward backpropagation network. Miss achieve satisfactory result mistakes. Work apposite decision procedure given to problem and it is possible on ni tie up in an effort to find optimum solving.