Artificial Neural Networks in Food Processing : : Modeling and Predictive Control /

Artificial Neural Networks in Food Processing : : Modeling and Predictive Control / / Mohamed Tarek Khadir.

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 revi...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Ebook Package English 2021
VerfasserIn:
Khadir, Mohamed Tarek,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2021]
©2021
Year of Publication:2021
Language:English
Series:De Gruyter STEM
Online Access:
Physical Description:1 online resource (XVIII, 182 p.)
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Table of Contents:
  • 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

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