2006Journal of Chromatography ARequires access

Prediction of the Lee retention indices of polycyclic aromatic hydrocarbons by artificial neural network

Biljana Škrbić, Antonije Onjia

Open publisher page 25 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 25 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Kovats retention index, Artificial neural network, Chemistry, Boiling point, Molecular descriptor, Chromatography, Biological system, Statistics

Related papers

Back to paper searchBrowse research topicsOriginal source
Prediction of the Lee retention indices of polycyclic aromatic hydrocarbons by artificial neural network — Research Paper | ScholarLens