A METHOD OF ESTIMATING RESEARCH OCTANE NUMBER OF GASOLINE BY NEURAL NETWORKS MODEL

Authors
YAMAMOTO J SASAKI T HANAKUMA Y NAKANISHI E
Citation
J. Yamamoto et al., A METHOD OF ESTIMATING RESEARCH OCTANE NUMBER OF GASOLINE BY NEURAL NETWORKS MODEL, Kagaku kogaku ronbunshu, 24(4), 1998, pp. 689-691
Citations number
2
Categorie Soggetti
Engineering, Chemical
Journal title
Kagaku kogaku ronbunshu → ACNP
ISSN journal
0386216X
Volume
24
Issue
4
Year of publication
1998
Pages
689 - 691
Database
ISI
SICI code
0386-216X(1998)24:4<689:AMOERO>2.0.ZU;2-O
Abstract
An application of the neural networks model is considered to estimate Research Octane Number of gasoline. It is one of the most important qu alities of gasoline, and shows the anti-knocking performance of the fu el. Three methods for estimating Research Octane Number are developed in this study; the empirical method using Research Octane Number of ea ch component of gasoline, the statistical analysis method, and the neu ral networks model. It is shown that the neural networks model is effe ctive in estimating Research Octane Number.