Review of Development of Nonconventional Neural Architectures at the Czech Technical University in Prague
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F09%3A00156630" target="_blank" >RIV/68407700:21220/09:00156630 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Review of Development of Nonconventional Neural Architectures at the Czech Technical University in Prague
Original language description
The paper reviews the background as well as the most contemporary developments and applications of nonconventional neural architectures (NNA) at the Department of Instrumentation and Control Engineering, at the Czech Technical University in Prague (CTU)with respect to continuous cooperation with our international collaborators. First, the onset of the need for development of nonconventional neural units is introduced on the background of original research of evaluation and prediction of complex time series using neural networks and modeling and evaluation of complex dynamic systems - particularly focusing heart rate variability. Second, the classification of the recently developed new neural architectures is reviewed; mathematical structure of the NNAis discussed in comparison to a biological neuron involving parallels of nonsynaptic neural processing and thus revealing the need for extension of our general understanding to mathematical notation of artificial neurons.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BC - Theory and management systems
OECD FORD branch
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Result continuities
Project
<a href="/en/project/2B06023" target="_blank" >2B06023: Development of a method for estimation of energy and matter fluxes in selected ecosystems; formulation and verification of principles for evaluation of conditions supporting selfregulation and biodiversity.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of 10th WSEAS Int. Conf. on Neural Networks
ISBN
978-960-474-065-9
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
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Publisher name
WSEAS
Place of publication
New York
Event location
Praha
Event date
Mar 23, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000265636900024