Application of artificial intelligence (AI) in characterization of the performance–emission profile of a single cylinder CI engine operating with hydrogen in dual fuel mode: An ANN approach with fuzzy-logic based topology optimization-Reference-Cited by-同舟云学术

Application of artificial intelligence (AI) in characterization of the performance–emission profile of a single cylinder CI engine operating with hydrogen in dual fuel mode: An ANN approach with fuzzy-logic based topology optimization

Published:2016-08 Issue:32 Volume:41 Page:14330-14350
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Deb Madhujit,Majumder Pinki,Majumder Arindam,Roy Sumit,Banerjee Rahul

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference57 articles.

1. Multi objective optimization of performance parameters of a single cylinder diesel engine with hydrogen as a dual fuel using pareto-based genetic algorithm;Deb;Int J Hydrogen Energy,2014

2. Multi objective optimization of performance parameters of a single cylinder diesel engine running with hydrogen using a Taguchi-fuzzy based approach;Bose;Energy,2013

3. Optimization of operating conditions for compressor performance by means of neural network inverse;Cortes;Appl Energy,2009

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

5. Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends;Mohamed Ismail;Appl Energy,2012

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Catalytic converter performance prediction and engine optimization when powered by diisopropyl ether/gasoline blends: Combined application of response surface methodology and artificial neural network;Energy;2024-11

2. Synergistic enhancement of performance and emission profiles in a single cylinder CI-engine: A fuzzy-tuned multi-objective whale optimization algorithm for diesel-hydrogen dual fuel augmentation;Energy Conversion and Management;2024-10

3. Prediction, optimization, and validation of the combustion effects of diisopropyl ether-gasoline blends: A combined application of artificial neural network and response surface methodology;Energy;2024-10

4. Artificial intelligence-based forecasting of dual-fuel mode CI engine behaviors powered with the hydrogen-diesel blends;International Journal of Hydrogen Energy;2024-10

5. Integration of artificial intelligence with a customized Four-Probe station for I-V characteristic classification and prediction;Measurement;2024-09