Jaroslaw Bilski

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 24

Top Topics

Learning Algorithm

Computed Tomography

Top Venues

J. Artif. Intell. Soft Comput. Res.

Publications

Jaroslaw Bilski, Jacek Smolag, Bartosz Kowalczyk, Konrad Grzanek, Ivan Izonin
Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks. J. Artif. Intell. Soft Comput. Res. 13 (2) (2023)
Jaroslaw Bilski, Bartosz Kowalczyk
A Novel Approach to the GQR Algorithm for Neural Networks Training. ICAISC (1) (2023)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek Smolag
On Speeding up the Levenberg-Marquardt Learning Algorithm. ICAISC (1) (2023)
Jaroslaw Bilski, Barosz Kowalczyk, Jacek Smolag
A New Computational Approach to the Levenberg-Marquardt Learning Algorithm. ICAISC (1) (2022)
Jaroslaw Bilski, Bartosz Kowalczyk
A Fast Learning Algorithm for the Multi-layer Neural Network. ICAISC (1) (2022)
Jaroslaw Bilski, Bartosz Kowalczyk, Marek Kisiel-Dorohinicki, Agnieszka Siwocha, Jacek M. Zurada
Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm. J. Artif. Intell. Soft Comput. Res. 12 (3) (2022)
Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Marjanski, Michal Gandor, Jacek M. Zurada
A Novel Fast Feedforward Neural Networks Training Algorithm. J. Artif. Intell. Soft Comput. Res. 11 (4) (2021)
Jaroslaw Bilski, Leszek Rutkowski, Jacek Smolag, Dacheng Tao
A novel method for speed training acceleration of recurrent neural networks. Inf. Sci. 553 (2021)
Jaroslaw Bilski, Jacek Smolag, Patryk Najgebauer
Modification of Learning Feedforward Neural Networks with the BP Method. ICAISC (1) (2021)
Jaroslaw Bilski, Bartosz Kowalczyk
A New Variant of the GQR Algorithm for Feedforward Neural Networks Training. ICAISC (1) (2021)
Jaroslaw Bilski, Jacek Smolag
Fast Conjugate Gradient Algorithm for Feedforward Neural Networks. ICAISC (1) (2020)
Jaroslaw Bilski, Bartosz Kowalczyk, Alina Marchlewska, Jacek M. Zurada
Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks. J. Artif. Intell. Soft Comput. Res. 10 (4) (2020)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada
A New Algorithm with a Line Search for Feedforward Neural Networks Training. ICAISC (1) (2020)
Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Cader
Modifications of the Givens Training Algorithm for Artificial Neural Networks. ICAISC (1) (2019)
Robert Cierniak, Jaroslaw Bilski, Piotr Pluta, Zbigniew Filutowicz
Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model. ICAISC (2) (2019)
Jaroslaw Bilski, Bartosz Kowalczyk, Konrad Grzanek
The Parallel Modification to the Levenberg-Marquardt Algorithm. ICAISC (1) (2018)
Jaroslaw Bilski, Bogdan M. Wilamowski
Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation. ICAISC (1) (2017)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada
Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) (2017)
Robert Cierniak, Jaroslaw Bilski, Jacek Smolag, Piotr Pluta, Nimit Shah
Parallel Realizations of the Iterative Statistical Reconstruction Algorithm for 3D Computed Tomography. ICAISC (1) (2017)
Jaroslaw Bilski, Bogdan M. Wilamowski
Parallel Learning of Feedforward Neural Networks Without Error Backpropagation. ICAISC (1) (2016)
Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada
Application of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) (2016)
Jaroslaw Bilski, Alexander I. Galushkin
A New Proposition of the Activation Function for Significant Improvement of Neural Networks Performance. ICAISC (1) (2016)
Jaroslaw Bilski, Jacek Smolag
Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks. IEEE Trans. Parallel Distributed Syst. 26 (9) (2015)
Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks. ICAISC (1) (2015)
Jaroslaw Bilski, Jacek Smolag, Alexander I. Galushkin
The Parallel Approach to the Conjugate Gradient Learning Algorithm for the Feedforward Neural Networks. ICAISC (1) (2014)
Jaroslaw Bilski, Jacek Smolag
Parallel Approach to Learning of the Recurrent Jordan Neural Network. ICAISC (1) (2013)
Jaroslaw Bilski, Jacek Smolag
Parallel Realisation of the Recurrent Multi Layer Perceptron Learning. ICAISC (1) (2012)
Jaroslaw Bilski, Jacek Smolag
Parallel Realisation of the Recurrent Elman Neural Network Learning. ICAISC (2) (2010)
Jaroslaw Bilski, Jacek Smolag
Parallel Realisation of the Recurrent RTRN Neural Network Learning. ICAISC (2008)
Jaroslaw Bilski
Momentum Modification of the RLS Algorithms. ICAISC (2004)
Jaroslaw Bilski, Slawomir Litwinski, Jacek Smolag
Parallel Realisation of QR Algorithm for Neural Networks Learning. ICAISC (2004)
Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada
Systolic Architectures for Soft Computing Algorithms. PPAM (2003)