Edited by
Riccardo Leardi, University of Genova, Genova, Italy
Description
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.
Included in series
Data Handling in Science and Technology
Audience:
Universities, research organisations and private companies world wide, working in the field of Chemometrics, QSAR, data mining, Neural Networks or Genetic Algorithms.
