Adaptive weight change mechanism for Kohonens's Neural Network implemented in CMOS 0.18 μm technology

ESANN 2007 Proceedings - 15th European Symposium on Artificial Neural Networks

Volumn , Issue , 2007, Pages 151-156

  Talaśka, Tomasz ^a   Długosz, Rafał ^b,c   Pedrycz, Witold ^c  

^a UNIVERSITY OF TECHNOLOGY AND LIFE SCIENCES   (Poland)

^b UNIVERSITY OF NEUCHÂTEL   (Switzerland)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE WEIGHTS; ANALOG SIGNALS; BUILDING BLOCKES; CURRENT MODE; EUCLIDEAN DISTANCE; KOHONEN'S NEURAL NETWORKS; LOW-POWER DISSIPATION; M-TECHNOLOGIES;

LOW POWER ELECTRONICS; NETWORKS (CIRCUITS);

NEURAL NETWORKS;

EID: 84887002637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Cauwenberghs G., Bayoumi M.: Learning on silicon, adaptive VLSI neural systems, Kluwer Academic Publishers, 1999
2. Talaśka T., Wojtyna R., Długosz R., Iniewski K.: Implementation of the conscience mechanism for Kohonen's neural network in CMOS 0.18 μm technology, International Conference Mixed Design of Integrated Circuits and Systems (MIXDES), Gdynia, Poland, 2006, pp. 319-315
3. Długosz R, Talaśka T, Wojtyna R.: New Binary-Tree-Based Winner-Takes-All Circuit for Learning on Silicon Kohonen's Networks, International Conference On Signals And Electronic Systems (ICSES), Łódź, Poland, 2006, pp. 441-446
4. Kohonen T.: Self-organizing maps, Springer Verlag, Berlin, 2001
5. Bult K., Wallinga H.: A Class of Analog CMOS Circuits Based on the Square-Law Characteristic of an MOS Transistors in Saturation, IEEE Journal of Solid-State Circuits, vol. sc-22, No.3, 1987, pp. 357-365