A Comparative Study of Artificial Intelligence Based Models to Predict Performance and Emission Characteristics of a Single Cylinder Diesel Engine Fueled With Diesosenol

[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 .