Details

Title

Optimization of a thin-walled element geometry using a system integrating neural networks and finite element method

Journal title

Archives of Metallurgy and Materials

Yearbook

2017

Numer

No 1

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Commitee on Metallurgy of Polish Academy of Sciences

Date

2017

Identifier

ISSN 1733-3490

References

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Gajewski (2013), Classification of wear level of mining tools with the use of fuzzy neural network Tunn Undergr Space, Technol, 35, 30. ; Bieniaś (2012), Analysis of microstructure damage in carbon / epoxy composites using FEM, Computational Materials Science, 168, doi.org/10.1016/j.commatsci.2012.03.033 ; Ramasamy (2014), Prediction of impact damage tolerance of drop impacted WGFRP composite by artificial neural network using acoustic emission parameters Part, Composites, 457, doi.org/10.1016/j.compositesb.2013.12.028 ; Mansouri (2015), Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches Part, Composites, 247, doi.org/10.1016/j.compositesb.2014.11.023 ; Man (2011), Neural network modelling for damage behaviour of composites using full - field strain measurements, Composite Structures, 383, doi.org/10.1016/j.compstruct.2010.09.003 ; Abouhamze (2007), Multi - objective stacking sequence optimization of laminated cylindrical panels using a genetic algorithm and neural networks, Composite Structures, 253, doi.org/10.1016/j.compstruct.2006.08.015 ; 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DOI

10.1515/amm-2017-0067

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