相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Numerical study of soot particles from low temperature combustion of engine fueled with diesel fuel and unsaturation biodiesel fuels
Feiyang Zhao et al.
APPLIED ENERGY (2018)
Effects of fatty acid methyl esters proportion on combustion and emission characteristics of a biodiesel fueled marine diesel engine
Zhiqing Zhang et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Prediction of density and kinematic viscosity of biodiesel by artificial neural networks
Ceyla Ozgur et al.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2017)
Fatty acid based prediction models for biodiesel properties incorporating compositional uncertainty
Carla Caldeira et al.
FUEL (2017)
Dependence of cold filter plugging point on saturated fatty acid profile of biodiesel blends derived from different feedstocks
Min-Hao Yuan et al.
FUEL (2017)
Exact estimation of biodiesel cetane number (CN) from its fatty acid methyl esters (FAMEs) profile using partial least square (PLS) adapted by artificial neural network (ANN)
Soleiman Hosseinpour et al.
ENERGY CONVERSION AND MANAGEMENT (2016)
Effects of fatty acid methyl esters proportion on combustion and emission characteristics of a biodiesel fueled diesel engine
Jiaqiang E et al.
ENERGY CONVERSION AND MANAGEMENT (2016)
Ignition temperature and activation energy of power coal blends predicted with back-propagation neural network models
Jun Cheng et al.
FUEL (2016)
Direct interval forecasting of wind speed using radial basis function neural networks in a multi-objective optimization framework
Chi Zhang et al.
NEUROCOMPUTING (2016)
Integration of fuzzy neural network and artificial immune system-based back-propagation neural network for sales forecasting using qualitative and quantitative data
R. J. Kuo et al.
JOURNAL OF INTELLIGENT MANUFACTURING (2016)
Prediction of selected biodiesel fuel properties using artificial neural network
Solomon O. Giwa et al.
FRONTIERS IN ENERGY (2015)
Neural network prediction of biodiesel kinematic viscosity at 313 K
Xiangzan Meng et al.
FUEL (2014)
Prediction of biodiesel fuel properties from fatty acid alkyl ester
In Kwon Hong et al.
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY (2014)
Prediction of the cetane number of biodiesel using artificial neural networks and multiple linear regression
Ramon Piloto-Rodriguez et al.
ENERGY CONVERSION AND MANAGEMENT (2013)
A statistical investigation of biodiesel physical and chemical properties, and their correlation with the degree of unsaturation
Evangelos G. Giakoumis
RENEWABLE ENERGY (2013)
Fuel Properties of Highly Polyunsaturated Fatty Acid Methyl Esters. Prediction of Fuel Properties of Algal Biodiesel
Gerhard Knothe
ENERGY & FUELS (2012)
Predicting cetane number, kinematic viscosity, density and higher heating value of biodiesel from its fatty acid methyl ester composition
Luis Felipe Ramirez-Verduzco et al.
FUEL (2012)
Multiple response optimization of vegetable oils fatty acid composition to improve biodiesel physical properties
S. Pinzi et al.
BIORESOURCE TECHNOLOGY (2011)
Parametric optimization design for supercritical CO2 power cycle using genetic algorithm and artificial neural network
Jiangfeng Wang et al.
APPLIED ENERGY (2010)
Prediction of Biodiesel Properties from Fatty Acid Composition using Linear Regression and ANN Techniques
Madhu Agarwal et al.
INDIAN CHEMICAL ENGINEER (2010)
Influence of fatty acid composition of raw materials on biodiesel properties
Maria Jesus Ramos et al.
BIORESOURCE TECHNOLOGY (2009)
Theoretical modeling of iodine value and saponification value of biodiesel fuels from their fatty acid composition
A. Gopinath et al.
RENEWABLE ENERGY (2009)
Thermodynamic study on cloud point of biodiesel with its fatty acid composition
Hiroaki Imahara et al.
FUEL (2006)
Biodiesel fuel from rapeseed oil as prepared in supercritical methanol
S Saka et al.
FUEL (2001)
分享论文
