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Artificial Neural Networks in Food Processing - (De Gruyter Stem) by Mohamed Tarek Khadir (Paperback)

Artificial Neural Networks in Food Processing - (De Gruyter Stem) by  Mohamed Tarek Khadir (Paperback) - 1 of 1
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About this item

Highlights

  • Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain.
  • About the Author: Mohamed Tarek Khadir, University Badji Mokhtar of Annaba, Algeria.
  • 200 Pages
  • Technology, Food Science
  • Series Name: de Gruyter Stem

Description



About the Book



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 n



Book Synopsis



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.



About the Author



Mohamed Tarek Khadir, University Badji Mokhtar of Annaba, Algeria.

Dimensions (Overall): 9.3 Inches (H) x 6.7 Inches (W) x .5 Inches (D)
Weight: .85 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 200
Genre: Technology
Sub-Genre: Food Science
Series Title: De Gruyter Stem
Publisher: De Gruyter
Theme: General
Format: Paperback
Author: Mohamed Tarek Khadir
Language: English
Street Date: January 18, 2021
TCIN: 1006484638
UPC: 9783110645941
Item Number (DPCI): 247-50-8496
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.5 inches length x 6.7 inches width x 9.3 inches height
Estimated ship weight: 0.85 pounds
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