Performance characteristics of a variable compression ratio CI engine simulation using artificial neural network
Author:
Affiliation:
1. School of Mechanical Engineering, Centre of Bio-Energy, Thanjavur, India
2. School of Mechanical Engineering, SASTRA Deemed University, Thanjavur, India
Publisher
Informa UK Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
https://www.tandfonline.com/doi/pdf/10.1080/15567036.2019.1648595
Reference16 articles.
1. An experimental based ANN approach in mapping performance-emission characteristics of a diesel engine operating in dual-fuel mode with LPG
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3. Performance enhancement of a baffle-cut heat exchanger of exhaust gas recirculation
4. Prediction of the performance and emissions of a spark ignition engine fueled with butanol‐gasoline blends based on support vector regression
5. Artificial neural network approach to predict the engine performance of fish oil biodiesel with diethyl ether using back propagation algorithm
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