Constructing Ordinary Sum Differential Equations using Polynomial Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86090323" target="_blank" >RIV/61989100:27240/14:86090323 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27740/14:86090323

Result on the web

<a href="http://www.sciencedirect.com/science/article/pii/S0020025514005969" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0020025514005969</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ins.2014.05.036" target="_blank" >10.1016/j.ins.2014.05.036</a>

Result language

angličtina

Original language name

Constructing Ordinary Sum Differential Equations using Polynomial Networks

Original language description

Data relations can define general sum partial differential equations of a composite function additive derivative model. Time-series data observations can analogously describe an ordinary sum differential equation with time derivatives, which is possibleto be solved using partial derivative term substitutions of time-dependent series. Differential polynomial neural network is a new type of neural network, which constructs and substitutes for an unknown general partial differential equation from data observations, developed by the author. It generates sum series of convergent partial polynomial derivative terms, which can describe an unknown complex function time-series. This type of non-linear regression decomposes a system model, described by the general differential equation, into many partial low order derivative specifications of selected relative sum terms. Common soft-computing techniques in general can apply input variables of only absolute interval values of a specific data ran

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Information sciences

ISSN

0020-0255

e-ISSN

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Volume of the periodical

Volume 281

Issue of the periodical within the volume

Multimedia Modeling

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

16

Pages from-to

"462-477"

UT code for WoS article

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EID of the result in the Scopus database

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