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Artificial Neural Networks in Food Processing: Modeling and Predictive Control [Pehme köide]

  • Formaat: Paperback / softback, 200 pages, kõrgus x laius: 240x170 mm, kaal: 357 g, 45 Illustrations, black and white; 25 Tables, black and white; 34 Illustrations, color
  • Sari: De Gruyter STEM
  • Ilmumisaeg: 18-Jan-2021
  • Kirjastus: De Gruyter
  • ISBN-10: 3110645947
  • ISBN-13: 9783110645941
  • Formaat: Paperback / softback, 200 pages, kõrgus x laius: 240x170 mm, kaal: 357 g, 45 Illustrations, black and white; 25 Tables, black and white; 34 Illustrations, color
  • Sari: De Gruyter STEM
  • Ilmumisaeg: 18-Jan-2021
  • Kirjastus: De Gruyter
  • ISBN-10: 3110645947
  • ISBN-13: 9783110645941

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.

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