An investigation of semiphysical artificial neural networks for multi-fuel combustion phasing control of spark ignition engines

Baitao Xiao; Shu Wang; Robert G Prucka

doi:10.1177/0954407014530692

An investigation of semiphysical artificial neural networks for multi-fuel combustion phasing control of spark ignition engines

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1177/0954407014530692 ◽

2014 ◽

Vol 228 (11) ◽

pp. 1262-1273 ◽

Cited By ~ 1

Author(s):

Baitao Xiao ◽

Shu Wang ◽

Robert G Prucka

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Spark Ignition ◽

Fuel Combustion ◽

Spark Ignition Engines ◽

Artificial Neural ◽

Phasing Control

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Artificial Neural Networks for Prediction of Efficiency and NOx Emission of a Spark Ignition Engine

10.4271/2006-01-1113 ◽

2006 ◽

Cited By ~ 7

Author(s):

G. Anand ◽

S. Gopinath ◽

M. R. Ravi ◽

I. N. Kar ◽

J. P. Subrahmanyam

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Spark Ignition ◽

Spark Ignition Engine ◽

Nox Emission ◽

Artificial Neural

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Prediction of Efficient Operating Conditions Inside a Heavy-Duty Natural Gas Spark Ignition Engine Using Artificial Neural Networks

10.1115/1.0004396v ◽

2021 ◽

Author(s):

Jinlong Liu ◽

Cosmin Dumitrescu ◽

Christopher Ulishney

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Natural Gas ◽

Spark Ignition ◽

Operating Conditions ◽

Spark Ignition Engine ◽

Heavy Duty ◽

Artificial Neural

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Performance and emission prediction of atertbutyl alcohol gasoline blended spark-ignition engine using artificial neural networks

International Journal of Ambient Energy ◽

10.1080/01430750.2013.820147 ◽

2013 ◽

Vol 36 (1) ◽

pp. 31-39 ◽

Cited By ~ 3

Author(s):

Puli Danaiah ◽

P. Ravi Kumar ◽

Y.V.H. Rao

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Spark Ignition ◽

Spark Ignition Engine ◽

Performance And Emission ◽

Artificial Neural

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Research of performance on a spark ignition engine fueled by alcohol–gasoline blends using artificial neural networks

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2015.08.058 ◽

2015 ◽

Vol 91 ◽

pp. 525-534 ◽

Cited By ~ 30

Author(s):

Murat Kapusuz ◽

Hakan Ozcan ◽

Jehad Ahmad Yamin

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Spark Ignition ◽

Spark Ignition Engine ◽

Artificial Neural

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Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

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Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Artificial Neural

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Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Artificial Neural Networks ◽

Organizational Issues ◽

Artificial Neural

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Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Artificial Neural Networks ◽

Diagnosis And Prognosis ◽

Artificial Neural

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FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Space Exploration ◽

Artificial Neural

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Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2005.53.5.343 ◽

2005 ◽

Vol 53 (5) ◽

pp. 343 ◽

Cited By ~ 1

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽

Artificial Neural

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