Ivo Bukovsky

Author: Ivo Bukovsky


Nonconventional neural architectures for dynamic systems:
- HONNU ... Higher Order Nonlinear Neural Units,
- TmD-DNU ... Time-Delay Dynamic Neural Units.
- HRV-HONNU ... Heart-Rate Variability Higher-Order Nonlinear Neural Units (low-dimensional neural architectures for complex dynamic systems)
- Nonsynaptic neural interactions and artificial neural networks
· Adaptive approach to evaluation of complex systems and signals:
- Adaptation Plot - Adaptive evaluation of chaotic systems and real complex signals (HRV,...),
- Monitoring of intervals of similar variability, repeating patterns, multi-attractor behavior,
- Monitoring of sudden and smooth changes in variability, system parameters, and perturbations.
· Nonlinear Control

Currently as a visiting researcher under the Matsumae International Foundation fellowships at the Tohoku University in Sendai, Japan


Publication period start: 2009
Number of co-authors: 6


Number of publications with favourite co-authors
Ladislav Smetana
Goran Simeunovic
Jiri Bila

Productive Colleagues

Most productive colleagues in number of publications
Madan M. Gupta
Jiri Bila
Zeng-Guang Hou


Bukovsky, Ivo, Hou, Zeng-Guang, Bila, Jiri, Gupta, Madan M. (2007): Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Uni. In: Zhang, Du, Wang, Yingxu, Kinsner, Witold (eds.) Proceedings of the Six IEEE International Conference on Cognitive Informatics ICCI 2007 August 6-8, 2007, Lake Tahoe, CA, USA. pp. 401-407. https://dx.doi.org/10.1109/COGINF.2007.4341916

Bukovsky, Ivo, Bila, Jiri (2008): Adaptive evaluation of complex time series using nonconventional neural units. In: Wang, Yingxu, Zhang, Du, Latombe, Jean-Claude, Kinsner, Witold (eds.) Proceedings of the Seventh IEEE International Conference on Cognitive Informatics - ICCI 2008 August 14-16, 2008, California, USA. pp. 128-137. https://dx.doi.org/10.1109/COGINF.2008.4639160

Bukovsky, Ivo, Anderle, Frantisek, Smetana, Ladislav (2008): Quadratic neural unit for adaptive prediction of transitions among local attractors of Lor. In: Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on Sept 1-3, 2008, Chindao, China. pp. 147-152. https://ieeexplore.ieee.org/xpl/selected.jsp?imageField.x=87&imageField.y=7&imageField=View+Selected+Items&chklist=4636136%40ieeecnfs

Simeunovic, Goran, Bukovsky, Ivo (2008): The Implementation of the Dynamic-Order-Extended Time-Delay Dynamic Neural Units to Heat T. In: 16th International Conference on NUCLEAR ENGINEERING ICONE 16 ASME May 11-15, 2008, Orlando, Florida, USA,.

Bila, Jiri, Bukovsky, Ivo (2009): Review of development of nonconventional neural architectures at the Czech technical unive. In: 10th WSEAS international conference on Neural networks , 2009, Prague. Czech Rep. pp. 138-146. https://Jakub Jura