NeuroFramework: A package based on neuroevolutionary algorithms to estimate the melting temperature of ionic liquids
In this paper, a Neuroevolutionary framework is presented for training and testing neuroevolutionary algorithms. This algorithm offers flexibility in its design by the stacking of operators to form an algorithm prototype. This approach allows a faster algorithm design where operators can be stacked...
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Format: | Article |
Language: | English |
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Elsevier
2020-01-01
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Series: | SoftwareX |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711019302924 |
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author | Jorge Alberto Cerecedo-Cordoba Juan Frausto-Solís Juan Javier González Barbosa |
author_facet | Jorge Alberto Cerecedo-Cordoba Juan Frausto-Solís Juan Javier González Barbosa |
author_sort | Jorge Alberto Cerecedo-Cordoba |
collection | DOAJ |
description | In this paper, a Neuroevolutionary framework is presented for training and testing neuroevolutionary algorithms. This algorithm offers flexibility in its design by the stacking of operators to form an algorithm prototype. This approach allows a faster algorithm design where operators can be stacked in the training phase and can even be managed by a dynamic controller. Neural Networks are represented on a graph without layers. This software was designed in modularity and new features can be easily added. This software includes a wrapper for Python for machine learning tasks, especially regression; however, the user can adapt this package for classification. |
first_indexed | 2024-12-24T03:23:46Z |
format | Article |
id | doaj.art-745e2e17a1534e9382500b3d9a2cb2e0 |
institution | Directory Open Access Journal |
issn | 2352-7110 |
language | English |
last_indexed | 2024-12-24T03:23:46Z |
publishDate | 2020-01-01 |
publisher | Elsevier |
record_format | Article |
series | SoftwareX |
spelling | doaj.art-745e2e17a1534e9382500b3d9a2cb2e02022-12-21T17:17:25ZengElsevierSoftwareX2352-71102020-01-0111NeuroFramework: A package based on neuroevolutionary algorithms to estimate the melting temperature of ionic liquidsJorge Alberto Cerecedo-Cordoba0Juan Frausto-Solís1Juan Javier González Barbosa2Tecnológico Nacional de México/Instituto Tecnológico de Ciudad Madero, Avenida Primero de Mayo, 89440, Cuidad Madero, Tamaulipas, MexicoCorresponding author.; Tecnológico Nacional de México/Instituto Tecnológico de Ciudad Madero, Avenida Primero de Mayo, 89440, Cuidad Madero, Tamaulipas, MexicoTecnológico Nacional de México/Instituto Tecnológico de Ciudad Madero, Avenida Primero de Mayo, 89440, Cuidad Madero, Tamaulipas, MexicoIn this paper, a Neuroevolutionary framework is presented for training and testing neuroevolutionary algorithms. This algorithm offers flexibility in its design by the stacking of operators to form an algorithm prototype. This approach allows a faster algorithm design where operators can be stacked in the training phase and can even be managed by a dynamic controller. Neural Networks are represented on a graph without layers. This software was designed in modularity and new features can be easily added. This software includes a wrapper for Python for machine learning tasks, especially regression; however, the user can adapt this package for classification.http://www.sciencedirect.com/science/article/pii/S2352711019302924Neuroevolutionary algorithmsIonic liquidsNeural networks |
spellingShingle | Jorge Alberto Cerecedo-Cordoba Juan Frausto-Solís Juan Javier González Barbosa NeuroFramework: A package based on neuroevolutionary algorithms to estimate the melting temperature of ionic liquids SoftwareX Neuroevolutionary algorithms Ionic liquids Neural networks |
title | NeuroFramework: A package based on neuroevolutionary algorithms to estimate the melting temperature of ionic liquids |
title_full | NeuroFramework: A package based on neuroevolutionary algorithms to estimate the melting temperature of ionic liquids |
title_fullStr | NeuroFramework: A package based on neuroevolutionary algorithms to estimate the melting temperature of ionic liquids |
title_full_unstemmed | NeuroFramework: A package based on neuroevolutionary algorithms to estimate the melting temperature of ionic liquids |
title_short | NeuroFramework: A package based on neuroevolutionary algorithms to estimate the melting temperature of ionic liquids |
title_sort | neuroframework a package based on neuroevolutionary algorithms to estimate the melting temperature of ionic liquids |
topic | Neuroevolutionary algorithms Ionic liquids Neural networks |
url | http://www.sciencedirect.com/science/article/pii/S2352711019302924 |
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