Recovery of the control plane after failures in ASON/GMPLS networks. - Andrzej Jajszczyk; Pawel Rózycki (IEEE Netw., 2006)

GMPLS Network Reliability Enhancement by Using the Dominating Nodes Approach. - Pawel Rózycki; Janusz Korniak; Andrzej Jajszczyk (ICC, 2009)

The weighted graphs approach for the GMPLS network reliability enhancement. - Pawel Rózycki; Andrzej Jajszczyk (ICUMT, 2010)

The Method of GMPLS Network Reliability Evaluation. - Janusz Korniak; Pawel Rózycki (IP&C, 2010)

Partial redundancy of the control plane routers in the GMPLS controlled optical networks. - Janusz Korniak; Pawel Rózycki (ICUMT, 2011)

Fast and Efficient Second-Order Method for Training Radial Basis Function Networks. - Tiantian Xie; Hao Yu; Joel D. Hewlett; Pawel Rózycki; Bogdan M. Wilamowski (IEEE Trans. Neural Networks Learn. Syst., 2012)

Outliers Elimination for Error Correction Algorithm Improvement. - Janusz Kolbusz; Pawel Rózycki (CS&P, 2015)

Enhanced Error Correction Algorithm for RBF Neural Networks. - Pawel Rózycki; Janusz Kolbusz (CS&P, 2015)

Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures. - Pawel Rózycki; Janusz Kolbusz; Tomasz Bartczak; Bogdan M. Wilamowski (ICAISC (1), 2015)

A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies. - Carlo Cecati; Janusz Kolbusz; Pawel Rózycki; Pierluigi Siano; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2015)

PolyNet: A Polynomial-Based Learning Machine for Universal Approximation. - Michael S. Pukish III; Pawel Rózycki; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2015)

A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning. - Xing Wu 009; Pawel Rózycki; Bogdan M. Wilamowski (IEEE Trans. Neural Networks Learn. Syst., 2015)

Estimation of Deep Neural Networks Capabilities Using Polynomial Approach. - Pawel Rózycki; Janusz Kolbusz; Roman Korostenskyi; Bogdan M. Wilamowski (ICAISC (1), 2016)

Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization. - Xing Wu 009; Pawel Rózycki; Bogdan M. Wilamowski (ICAISC (1), 2016)

The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem. - Janusz Kolbusz; Pawel Rózycki; Bogdan M. Wilamowski (ICAISC (1), 2017)

Improvement of RBF Training by Removing of Selected Pattern. - Pawel Rózycki; Janusz Kolbusz; Oleksandr Lysenko; Bogdan M. Wilamowski (ICAISC (1), 2017)

Neural Networks Saturation Reduction. - Janusz Kolbusz; Pawel Rózycki; Oleksandr Lysenko; Bogdan M. Wilamowski (ICAISC (1), 2018)

Soft Patterns Reduction for RBF Network Performance Improvement. - Pawel Rózycki; Janusz Kolbusz; Oleksandr Lysenko; Bogdan M. Wilamowski (ICAISC (1), 2018)

Implementation of Deep Neural Networks for Industry Applications. - Pawel Rózycki; Janusz Kolbusz; Grzegorz Krzos; Bogdan M. Wilamowski (IECON, 2018)

Nonlinear System Modeling Using RBF Networks for Industrial Application. - Xi Meng; Pawel Rózycki; Junfei Qiao 001; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2018)

Effective Training of RBF Networks. - Pawel Rózycki; Janusz Kolbusz; Aleksander Malinowski; Bogdan M. Wilamowski (HSI, 2019)

The Impact of Architecture on the Deep Neural Networks Training. - Pawel Rózycki; Janusz Kolbusz; Aleksander Malinowski; Bogdan M. Wilamowski (HSI, 2019)

Constructive Cascade Learning Algorithm for Fully Connected Networks. - Xing Wu 009; Pawel Rózycki; Janusz Kolbusz; Bogdan M. Wilamowski (ICAISC (1), 2019)