In recent years Genetic Algorithms (GA) and Artificial Neural
Networks (ANN) have progressively increased in importance amongst
the techniques routinely used in chemometrics. This book contains
contributions from experts in the field is divided in two sections
(GA and ANN). In each part, tutorial chapters are included in which
the theoretical bases of each technique are expertly (but simply)
described. These are followed by application chapters in which
special emphasis will be given to the advantages of the application
of GA or ANN to that specific problem, compared to classical
techniques, and to the risks connected with its misuse.
This book is of use to all those who are using or are interested in
GA and ANN. Beginners can focus their attentions on the tutorials,
whilst the most advanced readers will be more interested in looking
at the applications of the techniques. It is also suitable as a
reference book for students.
- Subject matter is steadily increasing in importance
- Comparison of Genetic Algorithms (GA) and Artificial Neural
Networks (ANN) with the classical techniques
- Suitable for both beginners and advanced researchers
General
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