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Image Search Results
Journal: RSC Advances
Article Title: Predicting the aggregation number of cationic surfactants based on ANN-QSAR modeling approaches: understanding the impact of molecular descriptors on aggregation numbers
doi: 10.1039/d2ra06064g
Figure Lengend Snippet: Network parameters (in the ANN-Matlab toolbox) in the QSAR analysis of the cationic surfactants
Article Snippet: The number of hidden layers and their neurons were chosen by optimizing the model in the
Techniques: Biomarker Discovery
Journal: RSC Advances
Article Title: Predicting rejection of emerging contaminants through RO membrane filtration based on ANN-QSAR modeling approach: trends in molecular descriptors and structures towards rejections
doi: 10.1039/d3ra03177b
Figure Lengend Snippet: Network parameters in the MATLAB software toolbox
Article Snippet: Here, ANN optimization was conducted using a
Techniques: Software, Biomarker Discovery