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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-01-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711019302924 |