Artificial neural network identification of heterotrophic marine bacteria based on their fatty-acid composition

1997 ◽  
Vol 44 (12) ◽  
pp. 1185-1191 ◽  
Author(s):  
M. Giacomini ◽  
C. Ruggiero ◽  
S. Bertone ◽  
L. Calegari
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Acid Composition ◽  
Marine Bacteria ◽  
Network Identification ◽  
Artificial Neural

scholarly journals Zero trans biscuits with soybean-based fats formulated using an artificial neural network

2018 ◽  
Vol 69 (2) ◽  
pp. 251 ◽  
Author(s):  
A. A.T. Penteado ◽  
A. C. Nogueira ◽  
K. M.B. Gandra ◽  
D. Barrera-Arellano ◽  
C. J. Steel
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Acid Composition ◽  
Raw Materials ◽  
Solid Fat Content ◽  
Physicochemical Characteristics ◽  
Artificial Neural ◽  
Total Fat

This study applied Artificial Neural Network (ANN) technology to formulate zero trans fat blends derived from soybeans and to evaluate their performance when applied to the processing of sweet laminated biscuits. For the formulation of the blends, two interesterified soybean fats and soybean oil were used as bases. They were characterized in terms of melting point, solid fat content and fatty acid composition; and the biscuits produced were analyzed for their technological (dimensions, mass, volume, expansion, instrumental color and texture, moisture gradient and cracking) and physicochemical characteristics (total fat and moisture contents, water activity and fatty acid composition). It was possible to verify the use of ANN to develop zero trans fats derived from soybeans for application in sweet laminated biscuits, which represents an operational and financial advantage. Moreover, we showed the viability of using soybean fats/oil, raw materials of greater availability and lower cost, for the production of biscuits.

FT-IR Spectroscopy and Artificial Neural Network Identification of Fusarium Species

2007 ◽  
Vol 155 (6) ◽  
pp. 364-367 ◽  
Author(s):  
M. Nie ◽  
W. Q. Zhang ◽  
M. Xiao ◽  
J. L. Luo ◽  
K. Bao ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Ir Spectroscopy ◽  
Fusarium Species ◽  
Network Identification ◽  
Ft Ir ◽  
Artificial Neural ◽  
Ft Ir Spectroscopy
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