Implementation of artificial neural network on graphics processing unit for classification problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F16%3A50013656" target="_blank" >RIV/62690094:18450/16:50013656 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-45246-3_29" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-45246-3_29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-45246-3_29" target="_blank" >10.1007/978-3-319-45246-3_29</a>
Alternative languages
Result language
angličtina
Original language name
Implementation of artificial neural network on graphics processing unit for classification problems
Original language description
The artificial neural network (NN) is widely use in pattern recognition related area such as classification. After all this time, the computational process of NN is done using central processing unit (CPU). In recent years, the introduction of graphics processing unit (GPU) has opened another way to perform calculations with the advantage to speed up the calculation. In this paper, the computational process of multilayer perceptron neural network be tested on GPU using classification datasets. The performance of NN model with different number of input, hidden and output neurons are explored and compared based on the computational between GPU and CPU. The experimental result shows that the computational on GPU is much faster than CPU.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational collective intelligence (ICCCI 2016)
ISBN
978-3-319-45245-6
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
303-310
Publisher name
Springer
Place of publication
Cham
Event location
Chalkidiki, Greece
Event date
Sep 28, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000387734400029