Evolved Neural Networks for Quantitative Structure-Activity Relationships of Anti-HIV Compounds

@inproceedings{Landavazo2002EvolvedNN,
  title={Evolved Neural Networks for Quantitative Structure-Activity Relationships of Anti-HIV Compounds},
  author={Dana G Landavazo and Gary B. Fogel},
  year={2002}
}
This paper compares the utility of an evolved neural network to a linear model to describe the activity of a set of anti-HIV compounds. The results indicate that significant nonlinearity exists within the descriptors for these molecules. This nonlinearity can be captured in a neural network architecture for significantly increased predictive performance. 

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