Predicting equilibrium vapour pressure isotope effects by using artificial neural networks or multi-linear regression – A quantitative structure property relationship approach-Reference-Cited by-同舟云学术

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

Published:2015-09 Issue: Volume:134 Page:521-527
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Parinet Julien,Julien Maxime,Nun Pierrick,Robins Richard J.,Remaud Gerald,Höhener Patrick

Publisher

Elsevier BV

Subject

General Medicine,General Chemistry,Environmental Chemistry,Environmental Engineering,Pollution,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference30 articles.

1. Simple yet accurate prediction method for sublimation enthalpies of organic contaminants using their molecular structure;Bagheri;Thermochim. Acta,2012

2. Carbon isotope fractionation during volatilization of petroleum hydrocarbons and diffusion across a porous medium: a column experiment;Bouchard;Environ. Sci. Technol.,2008

3. Ensemble and enhanced PM10 concentration forecast model based on stepwise regression and wavelet analysis;Chen;Atmos. Environ.,2013

4. Solvent-accessible surfaces of proteins and nucleic acids;Connolly;Science,1983

5. Craig, H., Gordon L.I., 1965. Deuterium and oxygen 18 variations in the ocean and marine atmosphere. In: Tongiogi, E. (Ed.), Proc. Stable Isotopes in Oceanographic Studies and Paleotemperatures, 1965, Spoleto, Italy, V. Lishi e F., Pisa, pp. 9–130.

Cited by 8 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. Applications of machine learning in friction stir welding: Prediction of joint properties, real-time control and tool failure diagnosis;Engineering Applications of Artificial Intelligence;2023-05

2. Prediction of pesticide retention time in reversed-phase liquid chromatography using quantitative-structure retention relationship models: A comparative study of seven molecular descriptors datasets;Chemosphere;2021-07

3. Experimental investigations on machine vibration in blast-hole drills and optimization of operating parameters;Measurement;2019-10

4. Prediction of the performance and exhaust emissions of ethanol-diesel engine using different neural network;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2019-08-22

5. 5. Statistical methods;Environmental Data Analysis;2016-11-21