Jacek Smolag

According to our database, Jacek Smolag authored at least 17 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

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

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

2020

Fast Conjugate Gradient Algorithm for Feedforward Neural Networks.

Jaroslaw Bilski, Jacek Smolag

Proceedings of the Artificial Intelligence and Soft Computing, 2020

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

2016

Predicting Success of Bank Direct Marketing by Neuro-fuzzy Systems.

Magdalena Scherer, Jacek Smolag, Adam Gaweda

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

2003

Systolic Architectures for Soft Computing Algorithms.

Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada

Proceedings of the Parallel Processing and Applied Mathematics, 2003