| Abstract: |  My thesis explores a problem of neural networks with regard to their behaviour. It deepens a more than thirteen years old research of approach of artificial life conducted by Pavel Nahodil on CTU in Prague (Faculty of Cybernetics).
My objective was to develop a tool that would enable better understanding, demonstration and research of internal behavioural regularities of a third generation neural networks. The resulting application is written in Java and supports drawing of planar graphs. It is based on a library developed by University of Maryland. For manipulation with data and structure of the graph, I used knowledge acquired when studying the area of Graphs, Cybernetics and Artificial Inteligence.
Program gives the user various options in interaction with the network animation or distribution. My application is able to display the network and enables a visualisation of its behaviour in real time.
Aside from functioning application written in Java, this work also resulted in creation of several implemented algorithms tested on various topologies of neural networks. Thus, in my work, I will present not only the application itself, but also the algorithms for distribution of network and a discussion of usefullness of their results.
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