Search results
- 1.0436431 - ÚTIA 2015 RIV US eng M - Monography Chapter
Kučera, Vladimír
Riccati Equations and their Solution.
The Control Handbook, Second Edition: Control System Advanced Methods. Control System Advanced Methods. Boca Raton: CRC Press, 2011 - (Lewine, W.), s. 14.1-14.21. Electrical Engineering Handbook. ISBN 978-1-4200-7366-9
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10750506
Institutional support: RVO:67985556
Keywords : Riccati equation * optimal control * solution
Subject RIV: BC - Control Systems Theory
Result website:
http://library.utia.cas.cz/separaty/2011/TR/kucera-0436431.pdf
Permanent Link: http://hdl.handle.net/11104/0240183 - 2.0433966 - ÚTIA 2015 RIV US eng M - Monography Chapter
Kučera, Vladimír
Algebraic Design Methods.
The Control Handbook, Second Edition: Control System Advanced Methods. Control System Advanced Methods. Boca Raton: CRC Press, 2011 - (Lewine, W.), s. 21.1-21.21. Electrical Engineering Handbook. ISBN 978-1-4200-7366-9
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10750506
Institutional support: RVO:67985556
Keywords : Control Systems * Advanced Methods * Methods Systems
Subject RIV: BC - Control Systems Theory
Result website:
http://library.utia.cas.cz/separaty/2011/TR/kucera-0433966.pdf
Permanent Link: http://hdl.handle.net/11104/0238120 - 3.0358973 - ÚI 2012 RIV HR eng M - Monography Chapter
Jiřina, Marcel - Jiřina jr., M.
Classifiers Based on Inverted Distances. Chapter 19.
New Fundamental technologies in Data Mining. Rijeka: InTech, 2011 - (Funatsu, K.; Hasegawa, K.), s. 369-386. ISBN 978-953-307-547-1
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : classification * neighbor distances * correlation dimension * Zipfian distribution
Subject RIV: BB - Applied Statistics, Operational Research
Result website:
http://www.intechopen.com/books/new-fundamental-technologies-in-data-mining/classifiers-based-on-inverted-distances
Permanent Link: http://hdl.handle.net/11104/0196862File Download Size Commentary Version Access 0358973.pdf 0 878.8 KB Author´s preprint require - 4.0342905 - ÚI 2011 RIV DE eng M - Monography Chapter
Jiřina, Marcel - Jiřina jr., M.
Genetic Selection Algorithm and Cloning for Data Mining with GMDH Method.
Foundations of Computational Intelligence. Vol. 5. Berlin: Springer, 2009 - (Abraham, A.; Hassanien, A.; Snášel, V.), s. 359-376. Studies in Computational Intelligence, 205. ISBN 978-3-642-01535-9
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : GMDH method * genetic selection * cloning * classifier
Subject RIV: IN - Informatics, Computer Science
DOI: https://doi.org/10.1007/978-3-642-01536-6_14
Permanent Link: http://hdl.handle.net/11104/0185513 - 5.0342904 - ÚI 2011 RIV DE eng M - Monography Chapter
Jiřina, Marcel - Jiřina jr., M.
Classification by the Use of Decomposition of Correlation Integral.
Foundations of Computational Intelligence. Vol. 5. Berlin: Springer, 2009 - (Abraham, A.; Hassanien, A.; Snášel, V.), s. 39-55. Studies in Computational Intelligence, 205. ISBN 978-3-642-01535-9
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : classification * multifractal * correlation dimension * distribution mapping exponent
Subject RIV: IN - Informatics, Computer Science
DOI: https://doi.org/10.1007/978-3-642-01536-6_2
Permanent Link: http://hdl.handle.net/11104/0185512 - 6.0328492 - ÚI 2010 RIV DE eng M - Monography Chapter
Kůrková, Věra
Estimates of Model Complexity in Neural-Network Learning.
[Odhady modelové složitosti při učení neuronových sítí.]
Innovations in Neural Information Paradigms and Applications. Berlin: Springer, 2009 - (Bianchini, M.; Maggini, M.; Scarselli, F.; Jain, L.), s. 97-111. Studies in Computational Intelligence, 247. ISBN 978-3-642-04002-3
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : model complexity * neural networks * learning from data
Subject RIV: IN - Informatics, Computer Science
DOI: https://doi.org/10.1007/978-3-642-04003-0_5
Permanent Link: http://hdl.handle.net/11104/0174795