Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering

Artificial neural networks are an effective and frequently used modelling method in regression and classification tasks in the area of steels and metal alloys. New publications show examples of the use of artificial neural networks in this area, which appear regularly. The paper presents an overview...

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Autores principales:	Wojciech Sitek, Jacek Trzaska
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	artificial neural networks computational intelligence machine learning modelling and simulation materials engineering steels Mining engineering. Metallurgy TN1-997
Acceso en línea:	https://doaj.org/article/2d7e5d90783744eda498fec3477c261a
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spelling	oai:doaj.org-article:2d7e5d90783744eda498fec3477c261a2021-11-25T18:22:17ZPractical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering10.3390/met111118322075-4701https://doaj.org/article/2d7e5d90783744eda498fec3477c261a2021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4701/11/11/1832https://doaj.org/toc/2075-4701Artificial neural networks are an effective and frequently used modelling method in regression and classification tasks in the area of steels and metal alloys. New publications show examples of the use of artificial neural networks in this area, which appear regularly. The paper presents an overview of these publications. Attention was paid to critical issues related to the design of artificial neural networks. There have been presented our suggestions regarding the individual stages of creating and evaluating neural models. Among other things, attention was paid to the vital role of the dataset, which is used to train and test the neural network and its relationship to the artificial neural network topology. Examples of approaches to designing neural networks by other researchers in this area are presented.Wojciech SitekJacek TrzaskaMDPI AGarticleartificial neural networkscomputational intelligencemachine learningmodelling and simulationmaterials engineeringsteelsMining engineering. MetallurgyTN1-997ENMetals, Vol 11, Iss 1832, p 1832 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial neural networks computational intelligence machine learning modelling and simulation materials engineering steels Mining engineering. Metallurgy TN1-997
spellingShingle	artificial neural networks computational intelligence machine learning modelling and simulation materials engineering steels Mining engineering. Metallurgy TN1-997 Wojciech Sitek Jacek Trzaska Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering
description	Artificial neural networks are an effective and frequently used modelling method in regression and classification tasks in the area of steels and metal alloys. New publications show examples of the use of artificial neural networks in this area, which appear regularly. The paper presents an overview of these publications. Attention was paid to critical issues related to the design of artificial neural networks. There have been presented our suggestions regarding the individual stages of creating and evaluating neural models. Among other things, attention was paid to the vital role of the dataset, which is used to train and test the neural network and its relationship to the artificial neural network topology. Examples of approaches to designing neural networks by other researchers in this area are presented.
format	article
author	Wojciech Sitek Jacek Trzaska
author_facet	Wojciech Sitek Jacek Trzaska
author_sort	Wojciech Sitek
title	Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering
title_short	Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering
title_full	Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering
title_fullStr	Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering
title_full_unstemmed	Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering
title_sort	practical aspects of the design and use of the artificial neural networks in materials engineering
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2d7e5d90783744eda498fec3477c261a
work_keys_str_mv	AT wojciechsitek practicalaspectsofthedesignanduseoftheartificialneuralnetworksinmaterialsengineering AT jacektrzaska practicalaspectsofthedesignanduseoftheartificialneuralnetworksinmaterialsengineering
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Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering

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