Comparison of FPNNs Models Approximation Capabilities and FPGA Resources Utilization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU127280" target="_blank" >RIV/00216305:26230/17:PU127280 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/11507/" target="_blank" >https://www.fit.vut.cz/research/publication/11507/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCP.2017.8116993" target="_blank" >10.1109/ICCP.2017.8116993</a>

Result language
angličtina
Original language name
Comparison of FPNNs Models Approximation Capabilities and FPGA Resources Utilization
Original language description
This paper presents the concepts of FPNA and FPNN, used for the approximation of artificial neural networks in FPGAs and introduces derived types of these concepts used by the authors. The process of transformation of a trained artificial neural network to an FPNN is described. The diagram of the FPGA implementation is presented. The results of experiments determining the approximation capabilities of FPNNs are presented and the FPGA resources utilization are compared.
Czech name
—
Czech description
—

Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of IEEE 13th International Conference on Intelligent Computer Communication and Processing
ISBN
978-1-5386-3368-7
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
125-132
Publisher name
IEEE Computer Society
Place of publication
Cluj-Nappoca
Event location
Cluj-Nappoca
Event date
Sep 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000417426600015

Similar results(10)