| Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks R Długosz, T Talaśka, W Pedrycz, R Wojtyna IEEE Transactions on Neural Networks 21 (6), 961-971, 2010 | 79 | 2010 |
| Current-mode analog adaptive mechanism for ultra-low-power neural networks R Długosz, T Talaśka, W Pedrycz IEEE Transactions on Circuits and Systems II: Express Briefs 58 (1), 31-35, 2011 | 45 | 2011 |
| Analog programmable distance calculation circuit for winner takes all neural network realized in the CMOS technology T Talaśka, M Kolasa, R Długosz, W Pedrycz Ieee transactions on neural networks and learning systems 27 (3), 661-673, 2015 | 36 | 2015 |
| Low power current-mode binary-tree asynchronous Min/Max circuit R DŁugosz, T Talaśka Microelectronics Journal 41 (1), 64-73, 2010 | 33 | 2010 |
| Transresistance CMOS neuron for adaptive neural networks implemented in hardware R Wojtyna, T Talaśka BULLETIN OF THE POLISH ACADEMY OF SCIENCES, TECHNICAL SCIENCES 54 (4), 2006 | 22 | 2006 |
| Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 μm Technology T Talaśka, R Długosz, W Pedrycz European Symposium on Artificial Neural Networks (ESANN), 151-156, 2007 | 21 | 2007 |
| New binary-tree-based Winner-Takes-All circuit for learning on silicon Kohonen's networks R Długosz, T Talaśka, R Wojtyna International Conference On Signals And Electronic Systems (ICSES), 441-446, 2006 | 19 | 2006 |
| Current mode analog Kohonen neural network T Talaska, R Dlugosz, R Wojtyna 2007 14th International Conference on Mixed Design of Integrated Circuits …, 2007 | 18* | 2007 |
| New technologies for smart cities–high‐resolution air pollution maps based on intelligent sensors M Banach, T Talaśka, J Dalecki, R Długosz Concurrency and Computation: Practice and Experience 32 (13), e5179, 2020 | 15 | 2020 |
| Experimental Kohonen neural network implemented in CMOS 0.18 μm technology R Długosz, T Talaśka, J Dalecki, R Wojtyna International Conference Mixed Design of Integrated Circuits and Systems …, 2008 | 14 | 2008 |
| Queueing theory model of pentose phosphate pathway SM Kloska, K Pałczyński, T Marciniak, T Talaśka, M Miller, BJ Wysocki, ... Scientific reports 12 (1), 4601, 2022 | 13 | 2022 |
| An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology T Talaśka, M Kolasa, R Długosz, PA Farine Applied Mathematics and Computation 267, 119-138, 2015 | 13 | 2015 |
| Queueing theory model of Krebs cycle S Kloska, K Pałczyński, T Marciniak, T Talaśka, M Nitz, BJ Wysocki, ... Bioinformatics 37 (18), 2912-2919, 2021 | 12 | 2021 |
| Current Mode Euclidean Distance Calculation Circuit for Kohonen's Neural Network Implemented in CMOS 0.18 µm Technology T Talaśka, R Długosz Canadian Conference on Electrical and Computer Engineering (CCECE), 437-440, 2007 | 12 | 2007 |
| Initialization mechanism in Kohonen neural network implemented in CMOS technology T Talaśka, R Długosz European Symposium on Artificial Neural Networks (ESANN), 337-342, 2008 | 11 | 2008 |
| Components of artificial neural networks realized in CMOS technology to be used in intelligent sensors in wireless sensor networks T Talaśka Sensors 18 (12), 4499, 2018 | 10 | 2018 |
| Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware M Kolasa, R Długosz, T Talaśka, W Pedrycz Applied Mathematics and Computation 319, 31-47, 2018 | 10 | 2018 |
| Implementation Of The Conscience Mechanism For Kohonen's Neural Network In Cmos 0.18 μm Technology T Talaśka, R Wojtyna, R Długosz, K Iniewski International Conference Mixed Design of Integrated Circuits and Systems …, 2006 | 10* | 2006 |
| A novel, low computational complexity, parallel swarm algorithm for application in low-energy devices Z Długosz, M Rajewski, R Długosz, T Talaśka Sensors 21 (24), 8449, 2021 | 9 | 2021 |
| Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 μm Technology T Talaska, RT Dlugosz, W Pedrycz Proceedings of the European Symposium on Artificial Neural Networks (ESANN …, 2007 | 9 | 2007 |
Rafal DlugoszBydgoszcz University of Science and Technology, Bydgoszcz, PolandAdresse e-mail validée de pbs.edu.pl
