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Application of neural networks in structure–activity relationships

✍ Scribed by István Kövesdi; Maria Felisa Dominguez-Rodriguez; László Ôrfi; Gábor Náray-Szabó; András Varró; Julius Gy. Papp; Péter Mátyus

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
125 KB
Volume
19
Category
Article
ISSN
0198-6325

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✦ Synopsis

Methodology and application of artificial neural networks in structure-activity relationships are reviewed focusing on the most frequently used three-layer feedforward back-propagation procedure. Two applications of neural networks are presented and a comparison of the performance with those of CoMFA and a classical QSAR analysis is also discussed.

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