Mapping trained neural networks to FPNNs

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117019" target="_blank" >RIV/00216305:26230/15:PU117019 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/DDECS.2015.50" target="_blank" >http://dx.doi.org/10.1109/DDECS.2015.50</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/DDECS.2015.50" target="_blank" >10.1109/DDECS.2015.50</a>

Result language
angličtina
Original language name
Mapping trained neural networks to FPNNs
Original language description
This paper introduces a set of methods for mapping the trained neural networks into the lighted grid structured Field Programmable Neural Networks without the use of a training data set. These methods use information obtained from original neural networks such as a network structure, connection weights and biases. The principles of these mapping methods are described and the used grid FPNNs are explained. The results of experiments are presented and summarized.
Czech name
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Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE 18th International Symposium on Design and Diagnostics of Electronic Circuits and Systems
ISBN
978-1-4799-6779-7
ISSN
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e-ISSN
—
Number of pages
4
Pages from-to
157-160
Publisher name
IEEE Computer Society
Place of publication
Belgrade
Event location
Belgrade
Event date
Apr 22, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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