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Using evolution to improve neural network learning: pitfalls and solutions

✍ Scribed by John A. Bullinaria

Publisher
Springer-Verlag
Year
2007
Tongue
English
Weight
955 KB
Volume
16
Category
Article
ISSN
0941-0643

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## 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