Pregled bibliografske jedinice broj: 622968
Area-efficient differential Gaussian circuit for dedicated hardware implementations of Gaussian function based machine learning algorithms
Area-efficient differential Gaussian circuit for dedicated hardware implementations of Gaussian function based machine learning algorithms // Neurocomputing, 118 (2013), 329-333 doi:10.1016/j.neucom.2013.02.022 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 622968 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Area-efficient differential Gaussian circuit for dedicated hardware implementations of Gaussian function based machine learning algorithms
Autori
Vrtarić, David ; Čeperić, Vladimir ; Barić, Adrijan
Izvornik
Neurocomputing (0925-2312) 118
(2013);
329-333
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Gaussian function; Gaussian circuit; Machine learning hardware
Sažetak
A simple and area-efficient differential Gaussian circuit is presented for machine learning dedicated hardware implementations, where Gaussian functions are needed, e.g. for artificial neural networks (as transfer function), support vector machines (as kernel function) and fuzzy logic (as membership function). The proposed Gaussian circuit consists of only 4 transistors. Simulations in the 0.18-µm CMOS UMC technology show that the proposed circuit is more accurate, less susceptible to the process variations and requires less on-chip area when compared to state- of-the-art.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
036-0361621-1622 - Kvaliteta signala u integriranim sklopovima s mješovitim signalom (Barić, Adrijan, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
