Department of Computer Systems

Conference paper

KRČMA Martin, KOTÁSEK Zdeněk and LOJDA Jakub. Comparison of FPNNs Models Approximation Capabilities and FPGA Resources Utilization. In: Proceedings of IEEE 13th International Conference on Intelligent Computer Communication and Processing. Cluj-Nappoca: IEEE Computer Society, 2017, pp. 125-132. ISBN 978-1-5386-3367-0.
Publication language:english
Original title:Comparison of FPNNs Models Approximation Capabilities and FPGA Resources Utilization
Title (cs):Porovnání aproximačních schopností různých typů FPNN a spotřeby zdrojů na FPGA
Pages:125-132
Proceedings:Proceedings of IEEE 13th International Conference on Intelligent Computer Communication and Processing
Conference:IEEE 13th International Conference on Intelligent Computer Communication and Processing
Place:Cluj-Nappoca, RO
Year:2017
ISBN:978-1-5386-3367-0
DOI:10.1109/ICCP.2017.8116993
Publisher:IEEE Computer Society
Keywords
ANN, FPNN, FPGA
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Martin Kr{\v{c}}ma and Zden{\v{e}}k Kot{\'{a}}sek
	and Jakub Lojda},
   title = {Comparison of FPNNs Models Approximation
	Capabilities and FPGA Resources Utilization},
   pages = {125--132},
   booktitle = {Proceedings of  IEEE 13th International Conference on
	Intelligent Computer Communication and Processing},
   year = {2017},
   location = {Cluj-Nappoca, RO},
   publisher = {IEEE Computer Society},
   ISBN = {978-1-5386-3367-0},
   doi = {10.1109/ICCP.2017.8116993},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en?id=11507}
}

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