A Comparative Study of Artificial Intelligence Based Models to Predict Performance and Emission Characteristics of a Single Cylinder Diesel Engine Fueled With Diesosenol
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Subrata Bhowmik | Rajsekhar Panua | Durbadal Debroy | S. Bhowmik | A. Paul | Durbadal Debroy | R. Panua | S. Ghosh | Subrata Kumar Ghosh | Abhishek Paul
[1] Gholamhassan Najafi,et al. Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network , 2009 .
[2] Dimitrios C. Rakopoulos,et al. Characteristics of performance and emissions in high-speed direct injection diesel engine fueled with diethyl ether/diesel fuel blends , 2012 .
[3] F. Bliemel. Theil's Forecast Accuracy Coefficient: A Clarification , 1973 .
[4] Hoon Kiat Ng,et al. Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends , 2012 .
[5] Subrata Bhowmik,et al. Artificial Neural Network Prediction of Diesel Engine Performance and Emission Fueled With Diesel–Kerosene–Ethanol Blends: A Fuzzy-Based Optimization , 2017 .
[6] B. F. Yousif,et al. CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network , 2010 .
[7] S. R. Yadav,et al. Estimation of petrol and diesel adulteration with kerosene and assessment of usefulness of selected automobile fuel quality test parameters , 2005 .
[8] Hamid Taghavifar,et al. Exhaust emissions prognostication for DI diesel group-hole injectors using a supervised artificial neural network approach , 2014 .
[9] Robert J. Abrahart,et al. HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts , 2007, Environ. Model. Softw..
[10] Anthony Paul Roskilly,et al. Experimental investigation on the performance and emissions of a diesel engine fuelled with ethanol–diesel blends , 2009 .
[11] Sumit Roy,et al. Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural network , 2014 .
[12] Ajoy Kumar Das,et al. Adaptive-neuro fuzzy inference system (ANFIS) based prediction of performance and emission parameters of a CRDI assisted diesel engine under CNG dual-fuel operation , 2015 .
[13] Probir Kumar Bose,et al. A performance‐emission tradeoff study of a CI engine fueled by compressed natural gas (CNG)/diesel–ethanol‐PPME blend combination , 2016 .
[14] E. Mattarelli,et al. Performance, emission and combustion characteristics of a IDI engine running on waste plastic oil , 2016 .
[15] Octavio Armas,et al. Emissions from a diesel–bioethanol blend in an automotive diesel engine , 2008 .
[16] Probir Kumar Bose,et al. An experimental study of the performance, combustion and emission characteristics of a CI engine under dual fuel mode using CNG and oxygenated pilot fuel blends , 2015 .
[17] Adem Çiçek,et al. Prediction of engine performance for an alternative fuel using artificial neural network , 2012 .
[18] Gholamhassan Najafi,et al. Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network , 2009 .
[19] Avinash Kumar Agarwal,et al. Diesoline, Diesohol, and Diesosene Fuelled HCCI Engine Development , 2016 .
[20] A. Paul,et al. Effect of Diesel–Ethanol–PPME (Pongamia piñata Methyl Ester) Blends as Pilot Fuel on CNG Dual-Fuel Operation of a CI Engine: A Performance-Emission Trade-Off Study , 2015 .
[21] Probir Kumar Bose,et al. Study of performance and emission characteristics of a single cylinder CI engine using diethyl ether and ethanol blends , 2015 .
[22] Mahdi Shahbakhti,et al. Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks , 2015 .
[23] Hoshin Vijai Gupta,et al. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling , 2009 .
[24] J. Nash,et al. River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .
[25] Yang Yang,et al. Experimental investigation of performance, emission and combustion characteristics of an indirect injection multi-cylinder CI engine fuelled by blends of de-inking sludge pyrolysis oil with biodiesel , 2013 .
[26] O. Durgun,et al. Experimental investigation of gasoline fumigation in a turbocharged IDI diesel engine , 2012 .
[27] Ismail Saritas,et al. Prediction of diesel engine performance using biofuels with artificial neural network , 2010, Expert Syst. Appl..
[28] Murad Samhouri,et al. The effect of boost pressure on the performance characteristics of a diesel engine: A neuro-fuzzy approach , 2009 .
[29] A. Paul,et al. Effect of diethyl ether and ethanol on performance, combustion, and emission of single-cylinder compression ignition engine , 2017 .
[30] M.H. Hassoun,et al. Fundamentals of Artificial Neural Networks , 1996, Proceedings of the IEEE.
[31] Theerayut Leevijit,et al. Comparative performance and emissions of IDI-turbo automobile diesel engine operated using degummed, deacidified mixed crude palm oil–diesel blends ☆ , 2011 .
[32] J. Maňka,et al. The Effect Of Mixing Diesel Fuels Additized With Kerosene and Cloud Point Depressants , 2000 .
[33] Probir Kumar Bose,et al. An experimental investigation of performance-emission trade off of a CI engine fueled by diesel–compressed natural gas (CNG) combination and diesel–ethanol blends with CNG enrichment , 2013 .