Prediction of intrinsic solubility of generic drugs using MLR, ANN and SVM analyses.
By Bruno Louis, V. Agrawal, P. Khadikar. 2010
51 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Computational Theory and Mathematics, Spectroscopy
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In Analytical Chemistry
In Computational Theory and Mathematics
In Spectroscopy
Citations in the corpus
- Machine learning methods in chemoinformatics (2014, background): “17,32,33 However, ANNs suffer from vulnerability to overfitting, with a danger of learning the noise as well as the signal from the training set and hence being less able to generalize to the unseen test data.”