The study of the relationship between the new topological index and the gas chromatographic retention indices of hydrocarbons by artificial neural networks-Reference-Cited by-同舟云学术

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The study of the relationship between the new topological index and the gas chromatographic retention indices of hydrocarbons by artificial neural networks

Published:2005-10-15 Issue:4 Volume:67 Page:741-748
ISSN:0039-9140
Container-title:Talanta
language:en
Short-container-title:Talanta

Author:

LI H,ZHANG Y,XU L

Publisher

Elsevier BV

Subject

Analytical Chemistry

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Kováts Retention Indices Using Graph Neural Networks;Journal of Chromatography A;2021-06

2. Genetic programming based quantitative structure–retention relationships for the prediction of Kovats retention indices;Journal of Chromatography A;2015-11

3. Artificial neural networks based on principal component analysis input selection for clinical pattern recognition analysis;Talanta;2007-08-15

4. Modelling of retention of pesticides in reversed-phase high-performance liquid chromatography: Quantitative structure-retention relationships based on solute quantum-chemical descriptors and experimental (solvatochromic and spin-probe) mobile phase descriptors;Analytica Chimica Acta;2007-06

5. Quantitative structure-retention relationships of pesticides in reversed-phase high-performance liquid chromatography;Analytica Chimica Acta;2007-01

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