Prediction of the distillation profile and cold properties of diesel fuels using mid-IR spectroscopy and neural networks

Principal component analysis

Svante Wold, Kim H. Esbensen, Paul Geladi · Chemometrics and Intelligent Laboratory Systems · 1987 · 11.4K citations

Engineering, Pattern Recognition, Knowledge Discovery +5

Using artificial neural networks for solving chemical problems

J.R.M. Smits, W.J. Melssen, L.M.C. Buydens et al. · Chemometrics and Intelligent Laboratory Systems · 1994 · 162 citations · Full text

Artificial Intelligence, Chemical Engineering, Evolving Neural Network +4

Neural network prediction of cetane number and density of diesel fuel from its chemical composition determined by LC and GC–MS

Hong Yang, Zbigniew Ring, Yevgenia Briker et al. · Fuel · 2002 · 104 citations

Diesel Fuel, Engineering, Neural Network Prediction +4

Improved Prediction Error Estimates for Multivariate Calibration by Correcting for the Measurement Error in the Reference Values

Klaas Faber, Bruce R. Kowalski · Applied Spectroscopy · 1997 · 79 citations

Engineering, Measurement, Calibration Model +21

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

Biswajit Basu, G. S. Kapur, A. S. Sarpal et al. · Energy & Fuels · 2003 · 48 citations

Chemical Engineering, Cetane Number, Engineering +8