scholarly journals The Use of Artificial Neural Networks (ANN) in Food Process Engineering

2019 ◽  
pp. 15-21 ◽  
Author(s):  
Raquel P. F. Guiné ◽  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Engineering ◽  
Artificial Neural

Solving process engineering problems using artificial neural networks

2011 ◽  
pp. 123-142 ◽  
Author(s):  
M. Willis ◽  
C. De Massimo ◽  
G. Montague ◽  
M. Tham ◽  
A. Morris
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Engineering ◽  
Engineering Problems ◽  
Artificial Neural

scholarly journals Application of Artificial Neural Networks to Chemical and Process Engineering

2021 ◽  
Author(s):  
Fabio Machado Cavalcanti ◽  
Camila Emilia Kozonoe ◽  
Kelvin André Pacheco ◽  
Rita Maria de Brito Alves
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Analysis ◽  
Large Data ◽  
Empirical Method ◽  
Computational Effort ◽  
Process Engineering ◽  
Future Research ◽  
Artificial Neural ◽  
And Control

The accelerated use of Artificial Neural Networks (ANNs) in Chemical and Process Engineering has drawn the attention of scientific and industrial communities, mainly due to the Big Data boom related to the analysis and interpretation of large data volumes required by Industry 4.0. ANNs are well-known nonlinear regression algorithms in the Machine Learning field for classification and prediction and are based on the human brain behavior, which learns tasks from experience through interconnected neurons. This empirical method can widely replace traditional complex phenomenological models based on nonlinear conservation equations, leading to a smaller computational effort – a very peculiar feature for its use in process optimization and control. Thereby, this chapter aims to exhibit several ANN modeling applications to different Chemical and Process Engineering areas, such as thermodynamics, kinetics and catalysis, process analysis and optimization, process safety and control, among others. This review study shows the increasing use of ANNs in the area, helping to understand and to explore process data aspects for future research.

Artificial neural networks in process engineering

1991 ◽  
Vol 138 (3) ◽  
pp. 256 ◽  
Author(s):  
M.J. Willis ◽  
C. Di Massimo ◽  
G.A. Montague ◽  
M.T. Tham ◽  
A.J. Morris
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Process Engineering ◽  
Artificial Neural

Determination of S-N curves with the application of artificial neural networks

1999 ◽  
Vol 22 (8) ◽  
pp. 723-728 ◽  
Author(s):  
Artymiak ◽  
Bukowski ◽  
Feliks ◽  
Narberhaus ◽  
Zenner
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Artificial Neural

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural
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