Zriadenie Fakulty informatiky a informačných technológií - FIIT STU

50 STU Faculty of Informatics and Information Technologiescompete on an international basis, and will ensure that the level andcontents of the study are equivalent to those of the partners.Universal Modular Industrial Computer (APVV, VMSP-P-0059-09)Project leader: Š. Kozák, T.KrajčovičMembers: R. Deák, P. Gábor, P. Šamaj, M. Janovčík, R. Chovan, J. ŠtefanovičSupported by: Slovak Research and Development AgencyDuration: August 2009 – December 2010Description: The main goal – a support of research and development in the companyVOIPAC Technologies Ltd. Partial goals – a development of acomputer, which will be a suitable platform for increase in effectivenessof a development of a broad range of terminal equipment; supportin a development of terminal equipment for companies, which donot have enough know-how; research and development of modernembedded computational systems by involving and with a support ofan organization for academy, which shall cause an increase of theadded value of the project; a production of a prototype, managementsupport in production, sales and increase of its volume; job-creation.7.6 PublicationsJournalsBABINEC, Š., POSPÍCHAL, J.: Combination of Dynamic Reservoir and Feedforward NeuralNetwork for Time Series Forecasting. In: Lecture Notes in Computer Science.Vol. 5507, Advances in Neuro-Information Processing, Vol. 2 (2009). ISSN0302-9743. Springer-Verlag Berlin Heidelberg 2009. pp. 284-291.BABINEC, Š., POSPÍCHAL, J.: Gating Echo State Neural Networks for Time Series Forecasting.In: Lecture Notes in Computer Science. Vol. 5506, Advances in Neuro-Information Processing, Vol. 1, ISSN 0302-9743. Springer-Verlag Berlin Heidelberg2009. pp. 200-207.ČERŇANSKÝ, M., MAKULA, M., BEŇUŠKOVÁ, Ľ.: Improving the State Space Organizationof Untrained Recurrent Networks. In: Lecture Notes in Computer Science. Vol.5506, Advances in Neuro-Information Processing, Vol. 1, ISSN 0302-9743.Springer-Verlag Berlin Heidelberg 2009. pp. 670-677.ČERŇANSKÝ, M., BEŇUŠKOVÁ, Ľ.: Training Recurrent Connectionist Models on SymbolicTime Series. In: Lecture Notes in Computer Science. Vol. 5506, Advances inNeuro-Information Processing, Vol. 1, ISSN 0302-9743. Springer-Verlag BerlinHeidelberg 2009. pp. 284-292.ČERŇANSKÝ, M.: Training Recurrent Neural Network Using Multistream Extended KalmanFilter on Multicore Processor and Cuda Enabled Graphic Processor Unit. In:Lecture Notes in Computer Science. Vol. 5768, Artificial Neural Networks. ISSN0302-9743. Springer-Verlag Berlin Heidelberg 2009. pp. 381-390.KVASNIČKA, V.: Artificial Chemistry and Darwinian Evolution. In: ChemZi, (Slovakjournal about chemistry for chemical education, research and industry), No. 5/9(2009), ISSN 1336-7242. p. 62. (in Slovak)