A Neural Network Approach to the Prediction of Cetane Number of Diesel Fuels Using Nuclear Magnetic Resonance (NMR) Spectroscopy-Reference-Cited by-同舟云学术

A Neural Network Approach to the Prediction of Cetane Number of Diesel Fuels Using Nuclear Magnetic Resonance (NMR) Spectroscopy

Published:2003-10-09 Issue:6 Volume:17 Page:1570-1575
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Basu B.¹,Kapur G. S.¹,Sarpal A. S.¹,Meusinger R.¹

Affiliation:

1. Indian Oil Corporation Limited, R&D Centre, Sector-13, Faridabad-121007, Haryana, India, and Institute of Organic Chemistry, Technical University of Darmstadt, Petersenstr. 22, D-64287 Darmstadt, Germany

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/ef030083f

Reference13 articles.

1. Prediction of cetane number of diesel fuels from carbon type structural composition determined by proton NMR spectroscopy

2. Cetane number vs. structure in paraffin hydrocarbons

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