Radial basis function neural network-based QSPR for the prediction of critical temperature-Reference-Cited by-同舟云学术

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Radial basis function neural network-based QSPR for the prediction of critical temperature

Published:2002-05 Issue:2 Volume:62 Page:217-225
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Yao Xiaojun,Wang Yawei,Zhang Xiaoyun,Zhang Ruisheng,Liu Mancang,Hu Zhide,Fan Botao

Publisher

Elsevier BV

Subject

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

Reference43 articles.

1. A structural approach to calculate physical properties of pure organic substances: The critical temperature, critical volume and related properties

2. Prediction of boiling points and critical temperatures of industrially important organic compounds from molecular structure

3. Boiling Point and Critical Temperature of a Heterogeneous Data Set: QSAR with Atom Type Electrotopological State Indices Using Artificial Neural Networks

4. Relationships of Critical Temperatures to Calculated Molecular Properties

5. Prediction of Critical Temperatures and Pressures of Industrially Important Organic Compounds from Molecular Structure

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