Predictive modelling of the LD50 activities of coumarin derivatives using neural statistical approaches: Electronic descriptor-based DFT

A study of structure–activity relationship (QSAR) was performed on a set of 30 coumarin-based molecules. This study was performed using multiple linear regressions (MLRs) and an artificial neural network (ANN). The predicted values of the antioxidant activities of coumarins were in good agreement wi...

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Detaylı Bibliyografya
Asıl Yazarlar:	Rachid Hmamouchi, Majdouline Larif, Samir Chtita, Azeddine Adad, Mohammed Bouachrine, Tahar Lakhlifi
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Taylor & Francis Group 2016-07-01
Seri Bilgileri:	Journal of Taibah University for Science
Konular:	Predicted QSAR MLR ANN Learning algorithm Levenberg–Marquardt
Online Erişim:	http://www.sciencedirect.com/science/article/pii/S1658365515001235
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Predictive modelling of the LD50 activities of coumarin derivatives using neural statistical approaches: Electronic descriptor-based DFT

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