Quantitative structure–property relationship studies of migration index in microemulsion electrokinetic chromatography using artificial neural networks

Migration Index ◽

Property Relationship ◽

Artificial Neural

Formulation optimization for thermoplastic sizing polyetherimide dispersion by quantitative structure–property relationship: experiments and artificial neural networks

Journal of Materials Science ◽

10.1007/s10853-014-8601-9 ◽

2014 ◽

Vol 50 (1) ◽

pp. 420-426 ◽

Cited By ~ 4

Author(s):

A. Malho Rodrigues ◽

S. Franceschi ◽

E. Perez ◽

J.-C. Garrigues

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Quantitative Structure ◽

Structure Property ◽

Formulation Optimization ◽

Property Relationship ◽

Artificial Neural

Quantitative Structure−Property Relationship (QSPR) Prediction of Solvation Gibbs Energy of Bifunctional Compounds by Recursive Neural Networks†

Journal of Chemical & Engineering Data ◽

10.1021/je100535p ◽

2010 ◽

Vol 55 (12) ◽

pp. 5425-5428 ◽

Cited By ~ 9

Author(s):

Luca Bernazzani ◽

Celia Duce ◽

Alessio Micheli ◽

Vincenzo Mollica ◽

Maria Rosaria Tiné

Keyword(s):

Neural Networks ◽

Gibbs Energy ◽

Quantitative Structure ◽

Structure Property ◽

Property Relationship ◽

Recursive Neural Networks ◽

Bifunctional Compounds ◽

The development of a quantitative structure property relationship (QSPR) for the prediction of dielectric constants using neural networks

Analytica Chimica Acta ◽

10.1016/s0003-2670(98)00781-8 ◽

1999 ◽

Vol 384 (3) ◽

pp. 285-303 ◽

Cited By ~ 42

Author(s):

Robert C Schweitzer ◽

Jeffrey B. Morris

Keyword(s):

Neural Networks ◽

Dielectric Constants ◽

Quantitative Structure ◽

Structure Property ◽

Property Relationship ◽

ChemInform Abstract: Prediction of Henry′s Law Constants by a Quantitative Structure-Property Relationship and Neural Networks.

ChemInform ◽

10.1002/chin.200148221 ◽

2010 ◽

Vol 32 (48) ◽

pp. no-no

Author(s):

Niall J. English ◽

Daniel G. Carroll

Keyword(s):

Neural Networks ◽

Quantitative Structure ◽

Structure Property ◽

Property Relationship ◽

Quantitative Structure-Property Relationship Study of the Solvent Polarity Using Wavelet Neural Networks

Analytical Sciences ◽

10.2116/analsci.23.937 ◽

2007 ◽

Vol 23 (8) ◽

pp. 937-942 ◽

Cited By ~ 6

Author(s):

Kobra ZAREI ◽

Morteza ATABATI ◽

Malihe EBRAHIMI

Keyword(s):

Neural Networks ◽

Solvent Polarity ◽

Quantitative Structure ◽

Structure Property ◽

Wavelet Neural Networks ◽

Property Relationship ◽

Relationship Study

Quantitative structure–property relationship prediction of gas-to-chloroform partition coefficient using artificial neural network

Microchemical Journal ◽

10.1016/j.microc.2009.10.019 ◽

2010 ◽

Vol 95 (2) ◽

pp. 140-151 ◽

Cited By ~ 19

Author(s):

Hassan Golmohammadi ◽

Majid Safdari

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Partition Coefficient ◽

Quantitative Structure ◽

Structure Property ◽

Property Relationship ◽

Artificial Neural

Quantitative structure–property relationship studies for estimating boiling points of alcohols using calculated molecular descriptors with radial basis function neural networks

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2004.03.002 ◽

2004 ◽

Vol 72 (1) ◽

pp. 93-100 ◽

Cited By ~ 24

Author(s):

Qianfeng Li ◽

Xingguo Chen ◽

Zhide Hu

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Molecular Descriptors ◽

Quantitative Structure ◽

Structure Property ◽

Property Relationship ◽

Boiling Points ◽

Use of quantitative-structure property relationship (QSPR) and artificial neural network (ANN) based approaches for estimating the octanol-water partition coefficients of the 209 chlorinatedtrans-azobenzene congeners

Journal of Environmental Science and Health Part B ◽

10.1080/03601234.2012.616779 ◽

2012 ◽

Vol 47 (2) ◽

pp. 111-128 ◽

Cited By ~ 6

Author(s):

Agata J. Wilczyńska-Piliszek ◽

Sławomir Piliszek ◽

Jerzy Falandysz

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Partition Coefficients ◽

Quantitative Structure ◽

Structure Property ◽

Property Relationship ◽

Artificial Neural ◽

Artificial Neural Network Ann

Prediction of Henry's Law Constants by a Quantitative Structure Property Relationship and Neural Networks

Journal of Chemical Information and Computer Sciences ◽

10.1021/ci010361d ◽

2001 ◽

Vol 41 (5) ◽

pp. 1150-1161 ◽

Cited By ~ 41

Author(s):

Niall J. English ◽

Daniel G. Carroll

Keyword(s):

Neural Networks ◽

Quantitative Structure ◽

Henry's Law ◽

Structure Property ◽

Henry’S Law ◽

Property Relationship ◽

Henry’S Law Constants ◽

Henry's Law Constants

Predicting equilibrium vapour pressure isotope effects by using artificial neural networks or multi-linear regression – A quantitative structure property relationship approach

Chemosphere ◽

10.1016/j.chemosphere.2014.10.079 ◽

2015 ◽

Vol 134 ◽

pp. 521-527 ◽

Cited By ~ 5

Author(s):

Julien Parinet ◽

Maxime Julien ◽

Pierrick Nun ◽

Richard J. Robins ◽

Gerald Remaud ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Linear Regression ◽

Vapour Pressure ◽

Isotope Effects ◽

Quantitative Structure ◽

Structure Property ◽

Multi Linear Regression