Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networksEdited by
- Riccardo Leardi
Universities, research organisations and private companies world wide, working in the field of Chemometrics, QSAR, data mining, Neural Networks or Genetic Algorithms.
Data Handling in Science and Technology
Hardbound, 402 Pages
Published: December 2003
"This book serves as a useful reference and twenty-third volume to the
Data Handling in Science and Technologyseries."
Peter De. B. Harrington, Ohio University, Ohio, APPLIED SPECTROSCOPY, Vol. 59, No. 4, 2005
"Overall, the reader is given an excellent introduction to GAs and their use in conjunction with other methods applied to several important problems. The applications chapters provide interesting examples and much information on how to configure GAs and ANNs.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, Vol. 72 (1) 2004
"Each part begins with a chapter that provides an excellent introduction to the technique. For persons who are involved in chemistry modeling, this would be a good book to own."
TECHNOMETRICS, Vol. 47, No. 1, 2005