Artificial Neural Network in Prediction of Solution for Eshelby?s Inclusion Problem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F14%3A00221929" target="_blank" >RIV/68407700:21110/14:00221929 - isvavai.cz</a>
Result on the web
<a href="http://mech.fsv.cvut.cz/nmm2014/cz/sbornik/" target="_blank" >http://mech.fsv.cvut.cz/nmm2014/cz/sbornik/</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Artificial Neural Network in Prediction of Solution for Eshelby?s Inclusion Problem
Original language description
In this paper we present our approach to estimate mechanical fields around ellipsoidal-like inclusions inside isotropic infinite body by means of Artificial Neural Network (ANN). The calibration of ANN is based on samples of exact solution given by J. D.Eshelby for Inclusion problem.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JI - Composite materials
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 5th Conference Nano & Macro Mechanics
ISBN
978-80-01-05569-4
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
219-226
Publisher name
Czech Technical University
Place of publication
Prague
Event location
Praha
Event date
Sep 18, 2014
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—