Result Details
FPGA Implementation of Function Approximation Module for Artificial Neural Networks
BOHRN, M.; FUJCIK, L.; VRBA, R. FPGA Implementation of Function Approximation Module for Artificial Neural Networks. In 33rd International Conference on TELECOMMUNICATIONS AND SIGNAL PROCESSING TSP - 2010 Proceedings. 1. Budapest, Hungary: Asszisztencia Szervezó Kft., 2010. p. 142-145. ISBN: 978-963-88981-0-4.
Type
conference paper
Language
English
Authors
Bohrn Marek, Ing., Ph.D., UMEL (FEEC)
Fujcik Lukáš, doc. Ing., Ph.D., UMEL (FEEC)
Vrba Radimír, prof. Ing., CSc., CEITEC (CEITEC), UMEL (FEEC)
Fujcik Lukáš, doc. Ing., Ph.D., UMEL (FEEC)
Vrba Radimír, prof. Ing., CSc., CEITEC (CEITEC), UMEL (FEEC)
Abstract
This paper focuses on hardware implementation of fast function approximation module into FPGA chip.
Keywords
Algorithms, Approximation methods, Digital arithmetic, Field programmable gate arrays
Published
2010
Pages
142–145
Proceedings
33rd International Conference on TELECOMMUNICATIONS AND SIGNAL PROCESSING TSP - 2010 Proceedings
Series
1
Edition
1
Conference
The 33rd International Conference on Telecommunication and Signal Processing, TSP 2010
ISBN
978-963-88981-0-4
Publisher
Asszisztencia Szervezó Kft.
Place
Budapest, Hungary
BibTeX
@inproceedings{BUT34911,
author="Marek {Bohrn} and Lukáš {Fujcik} and Radimír {Vrba}",
title="FPGA Implementation of Function Approximation Module for Artificial Neural Networks",
booktitle="33rd International Conference on TELECOMMUNICATIONS AND SIGNAL PROCESSING TSP - 2010 Proceedings",
year="2010",
series="1",
number="1",
pages="142--145",
publisher="Asszisztencia Szervezó Kft.",
address="Budapest, Hungary",
isbn="978-963-88981-0-4"
}
Departments