Pawel Rózycki

Publication Activity (10 Years)

Years Active: 2006-2019
Publications (10 Years): 11

Top Topics

Training Algorithm

Radial Basis Function

Fully Connected

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Pawel Rózycki, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski
Effective Training of RBF Networks. HSI (2019)
Xing Wu, Pawel Rózycki, Janusz Kolbusz, Bogdan M. Wilamowski
Constructive Cascade Learning Algorithm for Fully Connected Networks. ICAISC (1) (2019)
Pawel Rózycki, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski
The Impact of Architecture on the Deep Neural Networks Training. HSI (2019)
Janusz Kolbusz, Pawel Rózycki, Oleksandr Lysenko, Bogdan M. Wilamowski
Neural Networks Saturation Reduction. ICAISC (1) (2018)
Pawel Rózycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski
Soft Patterns Reduction for RBF Network Performance Improvement. ICAISC (1) (2018)
Pawel Rózycki, Janusz Kolbusz, Grzegorz Krzos, Bogdan M. Wilamowski
Implementation of Deep Neural Networks for Industry Applications. IECON (2018)
Xi Meng, Pawel Rózycki, Junfei Qiao, Bogdan M. Wilamowski
Nonlinear System Modeling Using RBF Networks for Industrial Application. IEEE Trans. Ind. Informatics 14 (3) (2018)
Pawel Rózycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski
Improvement of RBF Training by Removing of Selected Pattern. ICAISC (1) (2017)
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)
Xing Wu, Pawel Rózycki, Bogdan M. Wilamowski
Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization. ICAISC (1) (2016)
Pawel Rózycki, Janusz Kolbusz, Roman Korostenskyi, Bogdan M. Wilamowski
Estimation of Deep Neural Networks Capabilities Using Polynomial Approach. ICAISC (1) (2016)
Pawel Rózycki, Janusz Kolbusz
Enhanced Error Correction Algorithm for RBF Neural Networks. CS&P (2015)
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) (2015)
Janusz Kolbusz, Pawel Rózycki
Outliers Elimination for Error Correction Algorithm Improvement. CS&P (2015)
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)
Michael S. Pukish III, Pawel Rózycki, Bogdan M. Wilamowski
PolyNet: A Polynomial-Based Learning Machine for Universal Approximation. IEEE Trans. Ind. Informatics 11 (3) (2015)
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) (2015)
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) (2012)
Janusz Korniak, Pawel Rózycki
Partial redundancy of the control plane routers in the GMPLS controlled optical networks. ICUMT (2011)
Janusz Korniak, Pawel Rózycki
The Method of GMPLS Network Reliability Evaluation. IP&C (2010)
Pawel Rózycki, Andrzej Jajszczyk
The weighted graphs approach for the GMPLS network reliability enhancement. ICUMT (2010)
Pawel Rózycki, Janusz Korniak, Andrzej Jajszczyk
GMPLS Network Reliability Enhancement by Using the Dominating Nodes Approach. ICC (2009)
Andrzej Jajszczyk, Pawel Rózycki
Recovery of the control plane after failures in ASON/GMPLS networks. IEEE Netw. 20 (1) (2006)