Jaroslaw Bilski

According to our database, Jaroslaw Bilski authored at least 32 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks.

Jaroslaw Bilski, Jacek Smolag, Bartosz Kowalczyk, Konrad Grzanek, Ivan Izonin

J. Artif. Intell. Soft Comput. Res., March, 2023

On Speeding up the Levenberg-Marquardt Learning Algorithm.

Jaroslaw Bilski, Bartosz Kowalczyk, Jacek Smolag

Proceedings of the Artificial Intelligence and Soft Computing, 2023

A Novel Approach to the GQR Algorithm for Neural Networks Training.

Jaroslaw Bilski, Bartosz Kowalczyk

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022

Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm.

Jaroslaw Bilski, Bartosz Kowalczyk, Marek Kisiel-Dorohinicki, Agnieszka Siwocha, Jacek M. Zurada

J. Artif. Intell. Soft Comput. Res., 2022

A New Computational Approach to the Levenberg-Marquardt Learning Algorithm.

Jaroslaw Bilski, Bartosz Kowalczyk, Jacek Smolag

Proceedings of the Artificial Intelligence and Soft Computing, 2022

A Fast Learning Algorithm for the Multi-layer Neural Network.

Jaroslaw Bilski, Bartosz Kowalczyk

Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021

A Novel Fast Feedforward Neural Networks Training Algorithm.

Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Marjanski, Michal Gandor, Jacek M. Zurada

J. Artif. Intell. Soft Comput. Res., 2021

A novel method for speed training acceleration of recurrent neural networks.

Jaroslaw Bilski, Leszek Rutkowski, Jacek Smolag, Dacheng Tao

Inf. Sci., 2021

Modification of Learning Feedforward Neural Networks with the BP Method.

Jaroslaw Bilski, Jacek Smolag, Patryk Najgebauer

Proceedings of the Artificial Intelligence and Soft Computing, 2021

A New Variant of the GQR Algorithm for Feedforward Neural Networks Training.

Jaroslaw Bilski, Bartosz Kowalczyk

Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020

Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks.

Jaroslaw Bilski, Bartosz Kowalczyk, Alina Marchlewska, Jacek M. Zurada

J. Artif. Intell. Soft Comput. Res., 2020

Fast Conjugate Gradient Algorithm for Feedforward Neural Networks.

Jaroslaw Bilski, Jacek Smolag

Proceedings of the Artificial Intelligence and Soft Computing, 2020

A New Algorithm with a Line Search for Feedforward Neural Networks Training.

Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019

Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model.

Robert Cierniak, Jaroslaw Bilski, Piotr Pluta, Zbigniew Filutowicz

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Modifications of the Givens Training Algorithm for Artificial Neural Networks.

Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Cader

Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018

The Parallel Modification to the Levenberg-Marquardt Algorithm.

Jaroslaw Bilski, Bartosz Kowalczyk, Konrad Grzanek

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

Parallel Realizations of the Iterative Statistical Reconstruction Algorithm for 3D Computed Tomography.

Robert Cierniak, Jaroslaw Bilski, Jacek Smolag, Piotr Pluta, Nimit Shah

Proceedings of the Artificial Intelligence and Soft Computing, 2017

Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation.

Jaroslaw Bilski, Bogdan M. Wilamowski

Proceedings of the Artificial Intelligence and Soft Computing, 2017

Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm.

Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada

Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016

Parallel Learning of Feedforward Neural Networks Without Error Backpropagation.

Jaroslaw Bilski, Bogdan M. Wilamowski

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Application of the Givens Rotations in the Neural Network Learning Algorithm.

Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada

Proceedings of the Artificial Intelligence and Soft Computing, 2016

A New Proposition of the Activation Function for Significant Improvement of Neural Networks Performance.

Jaroslaw Bilski, Alexander I. Galushkin

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015

Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks.

Jaroslaw Bilski, Jacek Smolag

IEEE Trans. Parallel Distributed Syst., 2015

Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks.

Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada

Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014

The Parallel Approach to the Conjugate Gradient Learning Algorithm for the Feedforward Neural Networks.

Jaroslaw Bilski, Jacek Smolag, Alexander I. Galushkin

Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013

Parallel Approach to Learning of the Recurrent Jordan Neural Network.

Jaroslaw Bilski, Jacek Smolag

Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012

Parallel Realisation of the Recurrent Multi Layer Perceptron Learning.

Jaroslaw Bilski, Jacek Smolag

Proceedings of the Artificial Intelligence and Soft Computing, 2012

2010

Parallel Realisation of the Recurrent Elman Neural Network Learning.

Jaroslaw Bilski, Jacek Smolag

Proceedings of the Artifical Intelligence and Soft Computing, 2010

2008

Parallel Realisation of the Recurrent RTRN Neural Network Learning.

Jaroslaw Bilski, Jacek Smolag

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2004

Parallel Realisation of QR Algorithm for Neural Networks Learning.

Jaroslaw Bilski, Slawomir Litwinski, Jacek Smolag

Proceedings of the Artificial Intelligence and Soft Computing, 2004

Momentum Modification of the RLS Algorithms.

Jaroslaw Bilski

Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003

Systolic Architectures for Soft Computing Algorithms.

Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada

Proceedings of the Parallel Processing and Applied Mathematics, 2003