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ORCIDJaroslaw Bilski
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2020 – today
- 2023
[j6]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): 45-61 (2023)- [c26]Jaroslaw Bilski, Bartosz Kowalczyk:
A Novel Approach to the GQR Algorithm for Neural Networks Training. ICAISC (1) 2023: 3-11 - [c25]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek Smolag:
On Speeding up the Levenberg-Marquardt Learning Algorithm. ICAISC (1) 2023: 12-22 - 2022
- [j5]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): 181-195 (2022) - [c24]Jaroslaw Bilski, Bartosz Kowalczyk:
A Fast Learning Algorithm for the Multi-layer Neural Network. ICAISC (1) 2022: 3-15 - [c23]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek Smolag:
A New Computational Approach to the Levenberg-Marquardt Learning Algorithm. ICAISC (1) 2022: 16-26 - 2021
- [j4]Jaroslaw Bilski, Leszek Rutkowski, Jacek Smolag, Dacheng Tao:
A novel method for speed training acceleration of recurrent neural networks. Inf. Sci. 553: 266-279 (2021) - [j3]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): 287-306 (2021) - [c22]Jaroslaw Bilski, Bartosz Kowalczyk:
A New Variant of the GQR Algorithm for Feedforward Neural Networks Training. ICAISC (1) 2021: 41-53 - [c21]Jaroslaw Bilski, Jacek Smolag, Patryk Najgebauer:
Modification of Learning Feedforward Neural Networks with the BP Method. ICAISC (1) 2021: 54-65 - 2020
- [j2]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): 299-316 (2020) - [c20]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
A New Algorithm with a Line Search for Feedforward Neural Networks Training. ICAISC (1) 2020: 15-26 - [c19]Jaroslaw Bilski, Jacek Smolag:
Fast Conjugate Gradient Algorithm for Feedforward Neural Networks. ICAISC (1) 2020: 27-38
2010 – 2019
- 2019
- [c18]Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Cader:
Modifications of the Givens Training Algorithm for Artificial Neural Networks. ICAISC (1) 2019: 14-28 - [c17]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: 149-156 - 2018
- [c16]Jaroslaw Bilski, Bartosz Kowalczyk, Konrad Grzanek:
The Parallel Modification to the Levenberg-Marquardt Algorithm. ICAISC (1) 2018: 15-24 - 2017
- [c15]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) 2017: 14-24 - [c14]Jaroslaw Bilski, Bogdan M. Wilamowski:
Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation. ICAISC (1) 2017: 25-39 - [c13]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: 473-484 - 2016
- [c12]Jaroslaw Bilski, Alexander I. Galushkin:
A New Proposition of the Activation Function for Significant Improvement of Neural Networks Performance. ICAISC (1) 2016: 35-45 - [c11]Jaroslaw Bilski, Bartosz Kowalczyk, Jacek M. Zurada:
Application of the Givens Rotations in the Neural Network Learning Algorithm. ICAISC (1) 2016: 46-56 - [c10]Jaroslaw Bilski, Bogdan M. Wilamowski:
Parallel Learning of Feedforward Neural Networks Without Error Backpropagation. ICAISC (1) 2016: 57-69 - 2015
- [j1]Jaroslaw Bilski, Jacek Smolag:
Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks. IEEE Trans. Parallel Distributed Syst. 26(9): 2561-2570 (2015) - [c9]Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada:
Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks. ICAISC (1) 2015: 3-14 - 2014
- [c8]Jaroslaw Bilski, Jacek Smolag, Alexander I. Galushkin:
The Parallel Approach to the Conjugate Gradient Learning Algorithm for the Feedforward Neural Networks. ICAISC (1) 2014: 12-21 - 2013
- [c7]Jaroslaw Bilski, Jacek Smolag:
Parallel Approach to Learning of the Recurrent Jordan Neural Network. ICAISC (1) 2013: 32-40 - 2012
- [c6]Jaroslaw Bilski, Jacek Smolag:
Parallel Realisation of the Recurrent Multi Layer Perceptron Learning. ICAISC (1) 2012: 12-20 - 2010
- [c5]Jaroslaw Bilski, Jacek Smolag:
Parallel Realisation of the Recurrent Elman Neural Network Learning. ICAISC (2) 2010: 19-25
2000 – 2009
- 2008
- [c4]Jaroslaw Bilski, Jacek Smolag:
Parallel Realisation of the Recurrent RTRN Neural Network Learning. ICAISC 2008: 11-16 - 2004
- [c3]Jaroslaw Bilski:
Momentum Modification of the RLS Algorithms. ICAISC 2004: 151-157 - [c2]Jaroslaw Bilski, Slawomir Litwinski, Jacek Smolag:
Parallel Realisation of QR Algorithm for Neural Networks Learning. ICAISC 2004: 158-165 - 2003
- [c1]Jaroslaw Bilski, Jacek Smolag, Jacek M. Zurada:
Systolic Architectures for Soft Computing Algorithms. PPAM 2003: 601-608
Coauthor Index
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