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Marta Kolasa
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2010 – 2019
- 2018
- [j6]Marta Kolasa
, Rafal Dlugosz, Tomasz Talaska
Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware. Appl. Math. Comput. 319: 31-47 (2018) - [c11]Tomasz Talaska
Parallel, Asynchronous Winner Selection Circuit for Hardware Implemented Self-Organizing Maps. MIXDES 2018: 184-187 - 2017
- [c10]Marta Kolasa
A serial distance calculation circuit for the application in artificial neural networks and pattern recognition. MIXDES 2017: 501-504 - 2016
- [j5]Tomasz Talaska
Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology. IEEE Trans. Neural Networks Learn. Syst. 27(3): 661-673 (2016) - 2015
- [j4]Tomasz Talaska
An efficient initialization mechanism of neurons for Winner Takes All Neural Network implemented in the CMOS technology. Appl. Math. Comput. 267: 119-138 (2015) - [j3]Marta Kolasa
A novel recursive algorithm used to model hardware programmable neighborhood mechanism of self-organizing neural networks. Appl. Math. Comput. 267: 314-328 (2015) - [c9]Marta Kolasa
Problem of efficient initialization of large Self-Organizing Maps implemented in the CMOS technology. CYBCONF 2015: 36-41 - [c8]Marta Kolasa
An advanced software model for optimization of self-organizing neural networks oriented on implementation in hardware. MIXDES 2015: 266-271 - 2014
- [c7]Marta Kolasa, Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz:
An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps. ESANN 2014 - 2012
- [j2]Marta Kolasa
A programmable triangular neighborhood function for a Kohonen self-organizing map implemented on chip. Neural Networks 25: 146-160 (2012) - [c6]Rafal Dlugosz, Marta Kolasa, Michal Szulc, Witold Pedrycz, Pierre-André Farine:
Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA. ESANN 2012 - 2011
- [j1]Rafal Dlugosz, Marta Kolasa
Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology. IEEE Trans. Neural Networks 22(12): 2091-2104 (2011) - [c5]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz:
Fisherman learning algorithm of the SOM realized in the CMOS technology. ESANN 2011 - 2010
- [c4]Rafal Dlugosz, Marta Kolasa, Witold Pedrycz:
Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology. ESANN 2010
2000 – 2009
- 2009
- [c3]Rafal Dlugosz, Marta Kolasa:
New Fast Training Algorithm Suitable for Hardware Kohonen Neural Networks Designed for Analysis of Biomedical Signals. BIODEVICES 2009: 364-367 - [c2]Marta Kolasa, Rafal Dlugosz:
Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps. ESANN 2009 - 2008
- [c1]Marta Kolasa, Rafal Dlugosz:
Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology. ESANN 2008: 331-336
Coauthor Index
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