Pixels of chemical structures correlate to chromatographic detector responses using genetic algorithm-adaptive neuro-fuzzy inference system as a novel nonlinear feature selection method-Reference-Cited by-同舟云学术

Pixels of chemical structures correlate to chromatographic detector responses using genetic algorithm-adaptive neuro-fuzzy inference system as a novel nonlinear feature selection method

Published:2020-07 Issue: Volume:202 Page:104032
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Jalili-Jahani Nasser,Zeraatkar Ehsan,Fatehi Azadeh,Gholamian Marsa

Funder

Green Land Shiraz Eksir Chemical and Agricultural Industries Company

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

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4. QSPR modeling of UV absorption intensities;Katritzky;J. Comput. Aided Mol. Des.,2007

5. QSPR modeling of thermal conductivity detection response factors for diverse organic compound;Liu;Chemometr. Intell. Lab. Syst.,2006

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