Artificial neural networks in food processing : modeling and predictive control / Mohamed Tarek Khadir.

Format:

Book

Author/Creator:

Khadir, Mohamed Tarek, author.

Series:

De Gruyter STEM

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (XVIII, 182 p.)

Place of Publication:

Berlin ; Boston : De Gruyter, [2021]

Language Note:

In English.

Summary:

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.

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

Notes:

Description based on print version record.

ISBN:

3-11-064605-6

OCLC:

1233040875