Topology indices as predictors of retention behavior of newly synthesized androstane 3-oximes in RP-UHPLC artificial intelligence approach /
The present study describes the application of artificial neural networks (ANNs), as artificial intelligence approach, as a tool in prediction of retention behavior of a series of newly synthesized series of androstane 3-oximes by using several molecular topology descriptors. The retention behavior...
Elmentve itt :
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| Testületi szerző: | |
| Dokumentumtípus: | Könyv része |
| Megjelent: |
University of Szeged
Szeged
2024
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| Sorozat: | Proceedings of the International Symposium on Analytical and Environmental Problems
30 |
| Kulcsszavak: | Mesterséges intelligencia, Analitikai kémia, Gyógyszerkémia |
| Tárgyszavak: | |
| Online Access: | http://acta.bibl.u-szeged.hu/85748 |