Quantitative structure–property relationship studies of gas-to-wet butyl acetate partition coefficient of some organic compounds using genetic algorithm and artificial neural network

Quantitative structure–property relation

Quantitative structure–property relationship modeling of water-to-wet butyl acetate partition coefficient of 76 organic solutes using multiple linear regression and artificial neural network

✍ Zahra Dashtbozorgi; Hassan Golmohammadi 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 176 KB

## Abstract The main aim of this study was the development of a quantitative structure–property relationship method using an artificial neural network (ANN) for predicting the water‐to‐wet butyl acetate partition coefficients of organic solutes. As a first step, a genetic algorithm‐multiple linear