Sequential Procedure for Improving the Efficiency of CI Engine by Using Artificial Neural Networks

Sequential Procedure ◽

Ci Engine ◽

Abstract The authors have requested that this preprint be withdrawn due to a need to make corrections.

Machine Intelligence and Signal Processing - Advances in Intelligent Systems and Computing ◽

Intelligent Condition Monitoring of a CI Engine Using Machine Learning and Artificial Neural Networks

10.1007/978-981-15-1366-4_16 ◽

2020 ◽

pp. 201-214

Author(s):

P. Naveen Kumar ◽

S. R. Jeeva Karunya ◽

G. Sakthivel ◽

R. Jegadeeshwaran

Keyword(s):

Machine Learning ◽

Neural Networks ◽

Condition Monitoring ◽

Ci Engine ◽

Optimization of Engine Performance Parameters and Exhaust Emissions in CI Engine Fuelled with Soapnut Bio-Diesel Blend Using Artificial Neural Networks

10.4271/2019-01-1167 ◽

2019 ◽

Cited By ~ 3

Author(s):

Sudeeksha Agrawal ◽

Raghvendra Gautam

Keyword(s):

Neural Networks ◽

Engine Performance ◽

Exhaust Emissions ◽

Performance Parameters ◽

Ci Engine ◽

Analysis of the Effect of In-cylinder Parameters on NOX and HC Emissions of a CI Engine Using Artificial Neural Networks

10.4271/2006-01-3313 ◽

2006 ◽

Cited By ~ 1

Author(s):

Vijay Manikandan Janakiraman ◽

Saikishan Suryanarayanan ◽

S. Saravanan ◽

G. Lakshmi Narayana Rao

Keyword(s):

Neural Networks ◽

Ci Engine ◽

Artificial Neural ◽

Hc Emissions

Artificial neural networks approach on vibration and noise parameters assessment of flaxseed oil biodiesel fuelled CI engine

International Journal of Environmental Science and Technology ◽

10.1007/s13762-020-02975-8 ◽

2020 ◽

Author(s):

S. Jaikumar ◽

V. Srinivas ◽

M. R. S. Satyanarayana ◽

M. Rajasekhar ◽

D. Vamsi Teja ◽

...

Keyword(s):

Neural Networks ◽

Flaxseed Oil ◽

Noise Parameters ◽

Ci Engine ◽

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 ◽

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 ◽

Adaptive Training ◽

Training Systems ◽

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 ◽

Organizational Issues ◽

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 ◽

Diagnosis And Prognosis ◽

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 ◽

Space Exploration ◽

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 ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽