Implementation of artificial neural-networks to model the performance parameters of Stirling engine

Mechanics & Industry ◽

10.1051/meca/2015062 ◽

2016 ◽

Vol 17 (3) ◽

pp. 307 ◽

Author(s):

Seyed Abbas Sadatsakkak ◽

Mohammad H. Ahmadi ◽

Mohammad Ali Ahmadi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Stirling Engine ◽

Performance Parameters ◽

Artificial Neural

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Artificial neural networks modelling of the performance parameters of the Stirling engine

International Journal of Ambient Energy ◽

10.1080/01430750.2014.964370 ◽

2014 ◽

Vol 37 (4) ◽

pp. 341-347 ◽

Author(s):

Mohammad H. Ahmadi ◽

Mehdi Mehrpooya ◽

Nima Khalilpoor

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Stirling Engine ◽

Performance Parameters ◽

Artificial Neural

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Evaluation of the Performance Parameters of a Closed Queuing Network Using Artificial Neural Networks

Lecture Notes in Computer Science - Distributed Computer and Communication Networks: Control, Computation, Communications ◽

10.1007/978-3-030-92507-9_22 ◽

2021 ◽

pp. 265-278

Author(s):

A. V. Gorbunova ◽

Vladimir Vishnevsky

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Parameters ◽

Queuing Network ◽

Artificial Neural

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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 ◽

Author(s):

Sudeeksha Agrawal ◽

Raghvendra Gautam

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Engine Performance ◽

Exhaust Emissions ◽

Performance Parameters ◽

Ci Engine ◽

Artificial Neural

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Modelling (using artificial neural-networks) the performance parameters of a solar-driven ejector-absorption cycle

Applied Energy ◽

10.1016/j.apenergy.2003.12.012 ◽

2004 ◽

Vol 79 (3) ◽

pp. 309-325 ◽

Author(s):

Adnan Sözen ◽

M Ali Akçayol

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Parameters ◽

Artificial Neural ◽

Absorption Cycle

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Reformulation, as a Function of Only Working Temperatures, of Performance Parameters of a Solar Driven Ejector-Absorption Cycle Using Artificial Neural Networks

Energy Sources ◽

10.1080/00908310490479556 ◽

2005 ◽

Vol 27 (12) ◽

pp. 1133-1149 ◽

Author(s):

Adnan Sözen ◽

M. Ali Akçayol

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Parameters ◽

Artificial Neural ◽

Absorption Cycle

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Application of artificial neural networks for the prediction of traction performance parameters

Journal of the Saudi Society of Agricultural Sciences ◽

10.1016/j.jssas.2013.01.002 ◽

2014 ◽

Vol 13 (1) ◽

pp. 35-43 ◽

Author(s):

Hamid Taghavifar ◽

Aref Mardani

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Parameters ◽

Artificial Neural

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Artificial Neural Networks Methodologies to Optimize Engine Performance Parameters Using MATLAB

Lecture Notes in Mechanical Engineering - Advances in Interdisciplinary Engineering ◽

10.1007/978-981-13-6577-5_2 ◽

2019 ◽

pp. 15-26

Author(s):

N. Balaji Ganesh ◽

P. V. Srihari

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Engine Performance ◽

Performance Parameters ◽

Artificial Neural

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Prediction of flat-plate collector performance parameters using artificial neural networks

Solar Energy ◽

10.1016/j.solener.2005.03.003 ◽

2006 ◽

Vol 80 (3) ◽

pp. 248-259 ◽

Author(s):

Soteris A. Kalogirou

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Parameters ◽

Artificial Neural ◽

Flat Plate Collector

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05/01247 Modelling (using artificial neural-networks) the performance parameters of a solar-driven ejector-absorption cycle

Fuel and Energy Abstracts ◽

10.1016/s0140-6701(05)81252-4 ◽

2005 ◽

Vol 46 (3) ◽

pp. 185

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Parameters ◽

Artificial Neural ◽

Absorption Cycle

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Performance Parameters Analysis of an XD3P Peugeot Engine Using Artificial Neural Networks (ANN) Concept in MATLAB

Journal of The Institution of Engineers (India) Series C ◽

10.1007/s40032-014-0140-2 ◽

2014 ◽

Vol 96 (2) ◽

pp. 175-182 ◽

Author(s):

T. Rangaswamy ◽

S. Vidhyashankar ◽

M. Madhusudan ◽

H. R. Bharath Shekar

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Parameters ◽

Parameters Analysis ◽

Artificial Neural

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