UID:
almafu_9959742561002883
Umfang:
1 online resource (XVIII, 182 p.)
ISBN:
9783110646054
Serie:
De Gruyter STEM
Inhalt:
Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control and a review of ANNs used in food processing. Also, examples of ANNs in food processing applications such as pasteurization control are illustrated.
Anmerkung:
Frontmatter --
,
Acknowledgement --
,
Contents --
,
Introduction --
,
1 Biological inspiration and single artificial neurons --
,
2 Artificial neural networks for food processes: a survey --
,
3 Multi-layered perceptron --
,
4 Radial basis function networks --
,
5 Self-organising feature maps or Kohonen maps --
,
6 Deep artificial neural networks --
,
7 Overview of model predictive control theory and applications in food science using ANN --
,
Index
,
In English.
Weitere Ausg.:
ISBN 9783110646139
Weitere Ausg.:
ISBN 9783110645941
Sprache:
Englisch
DOI:
10.1515/9783110646054
URL:
https://doi.org/10.1515/9783110646054
URL:
https://www.degruyter.com/isbn/9783110646054
URL:
https://doi.org/10.1515/9783110646054
URL:
https://www.degruyter.com/isbn/9783110646054
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