Zdeněk Buk

My photographZdeněk Buk works as an assistant professor and researcher at the Department of Computer Science and Engineering. He got his Ph.D. in Computer Science from FEE-CTU in Prague in 2012. He joined the group in 2002. His research focuses on methods of computational and artificial intelligence, mainly on artificial neural networks and evolutionary techniques.

Projects

Publications

  • Zdeněk Buk and Jan Koutník and Miroslav Šnorek: NEAT in HyperNEAT Substituted with Genetic Programming. vol. 5495 nr. , p. 243-252, Springer, Kuopio, Finland, 2009. ISSN BibTex, PDF

    In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm with our implementation, in which we replaced the underlying NEAT with genetic programming. The algorithm was named HyperGP. The evolved neural networks were used as controllers of autonomous mobile agents (robots) in simulation. The agents were trained to drive with maximum average speed. This forces them to learn how to drive on roads and avoid collisions. The genetic programming lacking the NEAT complexification property shows better exploration ability and tends to generate more complex solutions in fewer generations. On the other hand, the basic genetic programming generates quite complex functions for weights generation. Both approaches generate neural controllers with similar abilities.

  • Buk, Z., Šnorek, M.: Processing the Time Context Based Data Using Soft Computing Methods in Mathematica. In: 5th International Conference APLIMAT, Bratislava: Slovak University of Technology, February 2006. ISBN 80-967305-4-1 BibTex
  • Mikšíček L., Brachtl M., Buk Z.: CIFS Driver for Palm OS Platform. In: MoWeIT 2005 - Mobile Computing Meets Knowledge Management, p. 87-90, Praha: Česká informatická společnost, 2005. ISBN ISBN 80-903198-0-7 BibTex

    Common Internet File System (CIFS) formerly know as SMB protocol is the most popular protocol for file sharing over the Internet. Originally invented by Microsoft it is the core protocol for Windows file and printer sharing. Implementing CIFS in form of file system driver makes it possible for PDA user to connect to any Windows (or SAMBA) shared disc he has right to access. After being mounted to the Palm OS the shared disc may be used by any Palm OS application which is able to read or write to a memory card. Since the file paradigm is currently the most popular way to operate user data. The CIFS driver for Palm OS improves greatly PDA usability. Users do not need to decide what data they will need outdoors before they leave their office. Remote file access provides for better flexibility of PDA usage.

  • Buk, Z., Šnorek, M., Skrbek, M.: Simulating the Finite State Machines using Fullly Recurrent Neural Network. In: Proceedings of XXVII-th International Autumn Colloquium ASIS 2005, p. 199-204, Ostrava: MARQ, September 2005. ISBN 80-86840-16-6 BibTex

    In contrast to classic feed-forward neural networks, the recurrent neural networks have an ability to process the time context of input data. Just because of this memory-feature the recurrent neural networks seem to be a powerful instrument for processing the time series, the natural language processing, etc. In this paper we present the ability of a fully recurrent type of neural network to simulate the finite state machines and the technique of automata description extraction from such a network.