Artificial Neural Networks in Food Processing

Beschreibung

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.

Autor*in

Mohamed Tarek Khadir

Themen in »Artificial Neural Networks in Food Processing«

Modellprädiktive Regelung Neuronales Netz Food Process Engineering Model Predictive Control Neurtal Networks

Stimmen zu »Artificial Neural Networks in Food Processing«

Details

Link teilen