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

Abstract

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.