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ORCIDPawel Rózycki
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2010 – 2019
- 2019
[c17]Pawel Rózycki
, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski:
Effective Training of RBF Networks. HSI 2019: 22-27- [c16]Pawel Rózycki, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski:
The Impact of Architecture on the Deep Neural Networks Training. HSI 2019: 41-46 - [c15]Xing Wu, Pawel Rózycki, Janusz Kolbusz, Bogdan M. Wilamowski:
Constructive Cascade Learning Algorithm for Fully Connected Networks. ICAISC (1) 2019: 236-247 - 2018
- [j6]Xi Meng, Pawel Rózycki, Junfei Qiao, Bogdan M. Wilamowski:
Nonlinear System Modeling Using RBF Networks for Industrial Application. IEEE Trans. Ind. Informatics 14(3): 931-940 (2018) - [c14]Janusz Kolbusz, Pawel Rózycki, Oleksandr Lysenko, Bogdan M. Wilamowski:
Neural Networks Saturation Reduction. ICAISC (1) 2018: 108-117 - [c13]Pawel Rózycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski:
Soft Patterns Reduction for RBF Network Performance Improvement. ICAISC (1) 2018: 190-200 - [c12]Pawel Rózycki, Janusz Kolbusz, Grzegorz Krzos, Bogdan M. Wilamowski:
Implementation of Deep Neural Networks for Industry Applications. IECON 2018: 2717-2722 - 2017
- [c11]Janusz Kolbusz, Pawel Rózycki, Bogdan M. Wilamowski:
The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem. ICAISC (1) 2017: 97-106 - [c10]Pawel Rózycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski:
Improvement of RBF Training by Removing of Selected Pattern. ICAISC (1) 2017: 154-164 - 2016
- [c9]Pawel Rózycki, Janusz Kolbusz, Roman Korostenskyi, Bogdan M. Wilamowski:
Estimation of Deep Neural Networks Capabilities Using Polynomial Approach. ICAISC (1) 2016: 136-147 - [c8]Xing Wu, Pawel Rózycki, Bogdan M. Wilamowski:
Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization. ICAISC (1) 2016: 158-169 - 2015
- [j5]Carlo Cecati, Janusz Kolbusz, Pawel Rózycki, Pierluigi Siano, Bogdan M. Wilamowski:
A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies. IEEE Trans. Ind. Electron. 62(10): 6519-6529 (2015) - [j4]Michael S. Pukish III, Pawel Rózycki, Bogdan M. Wilamowski:
PolyNet: A Polynomial-Based Learning Machine for Universal Approximation. IEEE Trans. Ind. Informatics 11(3): 708-716 (2015) - [j3]Xing Wu, Pawel Rózycki, Bogdan M. Wilamowski:
A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1659-1668 (2015) - [c7]Pawel Rózycki, Janusz Kolbusz:
Enhanced Error Correction Algorithm for RBF Neural Networks. CS&P 2015: 120-129 - [c6]Janusz Kolbusz, Pawel Rózycki:
Outliers Elimination for Error Correction Algorithm Improvement. CS&P 2015: 223-234 - [c5]Pawel Rózycki, Janusz Kolbusz, Tomasz Bartczak, Bogdan M. Wilamowski:
Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures. ICAISC (1) 2015: 112-122 - 2012
- [j2]Tiantian Xie, Hao Yu, Joel D. Hewlett, Pawel Rózycki, Bogdan M. Wilamowski:
Fast and Efficient Second-Order Method for Training Radial Basis Function Networks. IEEE Trans. Neural Networks Learn. Syst. 23(4): 609-619 (2012) - 2011
- [c4]Janusz Korniak, Pawel Rózycki:
Partial redundancy of the control plane routers in the GMPLS controlled optical networks. ICUMT 2011: 1-5 - 2010
- [c3]Pawel Rózycki, Andrzej Jajszczyk:
The weighted graphs approach for the GMPLS network reliability enhancement. ICUMT 2010: 608-614 - [c2]Janusz Korniak, Pawel Rózycki:
The Method of GMPLS Network Reliability Evaluation. IP&C 2010: 417-424
2000 – 2009
- 2009
- [c1]Pawel Rózycki, Janusz Korniak, Andrzej Jajszczyk:
GMPLS Network Reliability Enhancement by Using the Dominating Nodes Approach. ICC 2009: 1-5 - 2006
- [j1]Andrzej Jajszczyk, Pawel Rózycki:
Recovery of the control plane after failures in ASON/GMPLS networks. IEEE Netw. 20(1): 4-10 (2006)
Coauthor Index
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