Composing and Solving General Differential Equations using Extended Polynomial Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86095956" target="_blank" >RIV/61989100:27240/15:86095956 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/15:86095956
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7312058" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7312058</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INCoS.2015.28" target="_blank" >10.1109/INCoS.2015.28</a>

Result language
angličtina
Original language name
Composing and Solving General Differential Equations using Extended Polynomial Networks
Original language description
Multi-variable data relations can define a partial differential equation, which describes an unknown complex function on a basis of discrete observations, using the similarity model analysis methods. Time-series can form an ordinary differential equation, which is analogously possible to replace by partial derivatives of the same type time-dependent observations. Polynomial neural networks can compose and solve an unknown general partial differential equation of a searched function or pattern model by means of low order composite multi-variable derivative fractions. Convergent sum series of relative terms, produced by polynomial networks, describe partial dependent derivative changes of some polynomial combinations of input variables and can substitutefor the general differential equation. This non-linear regression type is based on learned generalized partial elementary data relations, decomposed into a polynomial network derivative structure, which is able to define and create more
Czech name
—
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
Intelligent Networking and Collaborative Systems INCoS-2015 : 7th International Conference : proceedings : September 2-4, 2015, Taipei, Tchaj-wan
ISBN
978-1-4673-7694-5
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
110 - 115
Publisher name
IEEE
Place of publication
Danvers
Event location
Taipei
Event date
Sep 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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