Artificial Neural Networks in Food Processing
| Author | : Mohamed Tarek Khadir |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 249 |
| Release | : 2021-01-18 |
| ISBN-10 | : 9783110646139 |
| ISBN-13 | : 3110646137 |
| Rating | : 4/5 (137 Downloads) |
Book Synopsis Artificial Neural Networks in Food Processing by : Mohamed Tarek Khadir
Download or read book Artificial Neural Networks in Food Processing written by Mohamed Tarek Khadir and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-01-18 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
