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Nature-inspired methods in chemometrics : genetic algorithms and artificial neural networks /

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 ch...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Leardi, R. (Riccardo) (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Elsevier, 2003.
Edición:1st ed.
Colección:Data handling in science and technology ; v. 23.
Temas:
Acceso en línea:Texto completo
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Tabla de Contenidos:
  • Genetic algorithms and beyond / Brian T. Luke
  • Hybrid genetic algorithms / D. Brynn Hibbert
  • Robust soft sensor development using genetic programming / Arthur K. Kordon, Guido F. Smits, Alex N. Kalos, Elsa M. Jordaan
  • Genetic algorithms in molecular modelling : a review / Alessandro Maiocchi
  • MobyDigs : software for regression and classification models by genetic algorithms / Roberto Todeschini, Viviana Consonni, Andrea Mauri, Manuela Pavan
  • Genetic algorithm-PLS as a tool for wavelength selection in spectral data sets / Riccardo Leardi
  • Basics of artificial neural networks / Jure Zupan
  • Artificial neural networks in molecular structures-property studies / Marjana Novic, Marjan Vracko
  • Neural networks for the calibration of voltammetric data / Conrad Bessant, Edward Richards
  • Neural networks and genetic algorithms applications in nuclear magnetic resonance spectroscopy / Reinhard Meusinger, Uwe Himmelreich
  • A QSAR model for predicting the acute toxicity of pesticides to Gammarids / James Devillers
  • Applying genetic algorithms and neural networks to chemometric problems / Brian T. Luke.