Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks, Volume 23 by Riccardo Leardi
Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks, Volume 23 Riccardo Leardi ebook
Language: English
Publisher: Elsevier Science
ISBN: 0444513507, 9780444513502
Page: 402
Format: pdf
Researchers have used genetic algorithm as a training method. In Multivariate Calibration by NIR Spectroscopy, Journal of Chemometrics, vol. Volume 23 Issue 1, January 2007. Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks, Volume 23. Taft, The general nature of the proportionality of polar effects of substituent groups in organic chemistry, J. A Hybrid Method of Genetic Algorithms and Ant Colony Optimization to Solve the Chemometrics and Intelligent Laboratory Systems. Nature-inspired methods in chemometrics: genetic algorithmsand artificial neural networks, Volume 23 (Data Handling in Science and Technology). TACO-miner: An ant colony based algorithm for rule extraction from trained neural networks. Abstract-Genetic Algorithms (GA) are search and optimization .. Special Issue on 'Evolving Soft Computing Techniques and Applications' in Second International Workshop on Natural Language Processing (NLP'13), 5th Asian . Parallel and nature-inspired computational paradigms and . Artificial neural network (ANN) as a multilayer perceptron feedforward . Riccardo Leardi, Nature-inspired methods in chemometrics: genetic algorithms and artificial neural networks, Elsevier Science Inc., New York, NY, 2003 .
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