SVM and ANFIS for prediction of performance and exhaust emissions of a SI engine with gasoline–ethanol blended fuels-Reference-Cited by-同舟云学术

SVM and ANFIS for prediction of performance and exhaust emissions of a SI engine with gasoline–ethanol blended fuels

Published:2016-02 Issue: Volume:95 Page:186-203
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Najafi G.,Ghobadian B.,Moosavian A.,Yusaf T.,Mamat R.,Kettner M.,Azmi W.H.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference61 articles.

1. Effects of cerium oxide nanoparticle addition in diesel and diesel-biodiesel-ethanol blends on the performance and emission characteristics of a CI engine;Arul Mozhi;ARPN J. Eng. Appl. Sci,2009

2. Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network;Najafi;Appl. Energy,2009

3. Comparative study of mathematical and experimental analysis of spark ignition engine performance used ethanol–gasoline blend fuel;Yücesu;Appl. Therm. Eng,2007

4. Effect of ethanol–gasoline blends on engine performance and exhaust emissions in different compression ratios;Yücesu;Appl. Therm. Eng,2006

5. The effects of ethanol–unleaded gasoline blends and ignition timing on performance and exhaust emissions;Topgül;Renew. Energy,2006

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