Nature Inspired Methods in Chemometrics: Genetic Algorithms and - Artificial Neural Network

Zusammenfassung Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. Divided into two sections (GA and ANN)! this book contains contributions from experts in the field and is of use to those who are using or are interested in GA and ANN. Inhaltsverzeichnis Part 1 Genetic algorithms: genetic algorithms and beyond! B.T. Luke; hybrid genetic algorithms! D. Brynn Hibbert; robust soft sensor development using genetic programming! A.K. Kordona et al; genetic algorithms in molecular modeling: a review! A. Maiocchi; MobyDigs - software for regression and classification models by genetic algorithms! R. Todeschini et al; genetic algorithm - PLS as a tool for wavelength selection in spectral data sets! R. Leardi. Part 2 Artificial neural networks: basics of artificial neural networks! Jure Zupan; artificial neural networks in molecular structures - property studies! M. Novic! M. Vracko; neural networks for the calibration of voltammetric data! C. Bessant! E. Richards; neural networks and genetic algorithms applications in nuclear magnetic resonance (NMR) spectroscopy! R. Meusingera! U. Himmelreichb; a QSAR model for predicting the acute toxicity of pesticides to gammarids! J. Devillers.

Dettagli sul prodotto

• Autori: Riccardo Leardi, Riccardo (University of Genova Leardi
• Con la collaborazione di: Riccardo Leardi (Editore), Riccardo (University of Genova Leardi (Editore)
• Editore: ELSEVIER SCIENCE BV
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 03.12.2003
• EAN: 9780444513502
• ISBN: 978-0-444-51350-2
• Pagine: 402
• Serie: Data Handling in Science and T; Data Handling in Science and T; Data Handling in Science and Technology
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica