scholarly journals Employing artificial neural networks and fluorescence spectrum for food vegetable oils identification

2021 ◽  
Author(s):  
Wawan Joko PRANOTO ◽  
Sarmad Ghazi AL-SHAWI ◽  
Paitoon CHETTHAMRONGCHAI ◽  
Tzu-Chia CHEN ◽  
Ekaterina PETUKHOVA ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fluorescence Spectrum ◽  
Vegetable Oils ◽  
Artificial Neural

scholarly journals Evaluation of Predictive Capabilities of Regression Models and Artificial Neural Networks for Density and Viscosity Measurements of Different Biodiesel-Diesel-Vegetable Oil Ternary Blends

2018 ◽  
Vol 22 (1) ◽  
pp. 179-205 ◽  
Author(s):  
Mert Gulum ◽  
Funda Kutlu Onay ◽  
Atilla Bilgin
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Vegetable Oil ◽  
Vegetable Oils ◽  
Diesel Fuel ◽  
Alternative Fuels ◽  
Waste Cooking Oil ◽  
Ternary Blends ◽  
Cooking Oil ◽  
Artificial Neural

Abstract Nowadays, biodiesel and vegetable oils have received increasing attention as renewable clean alternative fuels to fossil diesel fuel because of decreasing petroleum reserves and increasing environmental concerns. However, the straight use of biodiesel and vegetable oils in pure form results in several operational and durability problems in diesel engines because of their higher viscosity than fossil diesel fuel. One of the most used methods for solving the high viscosity problem is to blend them with fossil diesel fuel or alcohol. The reliable viscosity and density data of various biodiesel-diesel-alcohol ternary blends or biodiesel-diesel binary blends are plentifully available in existing literature, however, there is still the scarcity of dependable measurement values on different biodiesel-diesel-vegetable oil ternary blends at various temperatures. Therefore, in this study, waste cooking oil biodiesel (ethyl ester) was produced, and it was blended with fossil diesel fuel and waste cooking oil at different volume ratios to prepare ternary blends. Viscosities and densities of the ternary blends were determined at different temperatures according to DIN 53015 and ISO 4787 standards, respectively. The variation in viscosity with respect to temperature and oil fraction and the change of density vs. temperature were evaluated, rational and exponential models were proposed for these variations, and these models were tested against the density and viscosity data measured by the authors, Nogueira et al. and Baroutian et al. by comparing them to Gupta et al. model, linear model, Cragoe model and ANN (artificial neural networks) previously recommended in existing literature.

Use of artificial neural networks for the classification of vegetable oils after GC analysis

1993 ◽  
Vol 35 (3-4) ◽  
pp. 160-166 ◽  
Author(s):  
R. A. Francelin ◽  
F. A. C. Gomide ◽  
F. M. Lanças
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Vegetable Oils ◽  
Gc Analysis ◽  
Artificial Neural

scholarly journals Surface Tension Prediction of Vegetable Oils Using Artificial Neural Networks and Multiple Linear Regression

2014 ◽  
Vol 57 ◽  
pp. 886-895 ◽  
Author(s):  
Eliezer Ahmed Melo-Espinosa ◽  
Yisel Sánchez-Borroto ◽  
Michel Errasti ◽  
Ramón Piloto-Rodríguez ◽  
Roger Sierens ◽  
...  
Keyword(s):  
Neural Networks ◽  
Surface Tension ◽  
Artificial Neural Networks ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Vegetable Oils ◽  
Artificial Neural

Application of artificial neural networks to X‐ray fluorescence spectrum analysis

2018 ◽  
Vol 48 (2) ◽  
pp. 138-150 ◽  
Author(s):  
Fei Li ◽  
Zhixing Gu ◽  
Liangquan Ge ◽  
Di Sun ◽  
Xutao Deng ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Fluorescence Spectrum ◽  
Spectrum Analysis ◽  
X Ray ◽  
Artificial Neural

scholarly journals Classification of food vegetable oils by fluorimetry and artificial neural networks

Food Control ◽  
2015 ◽  
Vol 47 ◽  
pp. 86-91 ◽  
Author(s):  
Carlos Eduardo Tanajura da Silva ◽  
Vitor Leão Filardi ◽  
Iuri Muniz Pepe ◽  
Modesto Antonio Chaves ◽  
Carilan Moreira S. Santos
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Vegetable Oils ◽  
Artificial Neural
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