Application of Correlation Ranking Procedure and Artificial Neural Networks in the Modeling of Liquid Chromatographic Retention Times (tR) of Various Pesticides-Reference-Cited by-同舟云学术

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Application of Correlation Ranking Procedure and Artificial Neural Networks in the Modeling of Liquid Chromatographic Retention Times (tR) of Various Pesticides

Published:2008-12-10 Issue:18 Volume:41 Page:3364-3385
ISSN:0003-2719
Container-title:Analytical Letters
language:en
Short-container-title:Analytical Letters

Author:

Riahi S.,Mousavi M. F.,Ganjali Mohammad Reza,Norouzi Parviz

Publisher

Informa UK Limited

Subject

Electrochemistry,Biochemistry (medical),Clinical Biochemistry,Spectroscopy,Biochemistry,Analytical Chemistry

Link

http://www.tandfonline.com/doi/pdf/10.1080/00032710802514881

Reference47 articles.

1. Transformation Studies of Some Polar Pesticides In Water By On-Line Solid-Phase Extraction and Liquid Chromatography/Particle Beam-Mass Spectrometry

2. Genetic algorithm applied to the selection of principal components

3. Chance Correlation in Variable Subset Regression: Influence of the Objective Function, the Selection Mechanism, and Ensemble Averaging

4. Potentiometric detection of exogenic beta-adrenergic substances in liquid chromatography

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1. Artificial Neural Network Modeling of Distillers Dried Grains with Solubles (DDGS) Flowability with Varying Process and Storage Parameters;Cereal Chemistry Journal;2011-09

2. Current Mathematical Methods Used in QSAR/QSPR Studies;International Journal of Molecular Sciences;2009-04-29

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