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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| Superior document: | Title is part of eBook package: De Gruyter DG Ebook Package English 2021 |
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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2021] ©2021 |
| Year of Publication: | 2021 |
| Language: | English |
| Series: | De Gruyter STEM
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| Online Access: | |
| Physical Description: | 1 online resource (XVIII, 182 p.) |
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| 100 | 1 | |a Khadir, Mohamed Tarek, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Artificial Neural Networks in Food Processing : |b Modeling and Predictive Control / |c Mohamed Tarek Khadir. |
| 264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2021] | |
| 264 | 4 | |c ©2021 | |
| 300 | |a 1 online resource (XVIII, 182 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 0 | |a De Gruyter STEM | |
| 505 | 0 | 0 | |t Frontmatter -- |t Acknowledgement -- |t Contents -- |t Introduction -- |t 1 Biological inspiration and single artificial neurons -- |t 2 Artificial neural networks for food processes: a survey -- |t 3 Multi-layered perceptron -- |t 4 Radial basis function networks -- |t 5 Self-organising feature maps or Kohonen maps -- |t 6 Deep artificial neural networks -- |t 7 Overview of model predictive control theory and applications in food science using ANN -- |t Index |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a 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. | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) | |
| 650 | 4 | |a Lebensmittelverfahrenstechnik. | |
| 650 | 4 | |a Modellprädiktive Regelung. | |
| 650 | 4 | |a Neuronales Netz. | |
| 650 | 7 | |a Technology & Engineering / Food Science. |2 bisacsh | |
| 653 | |a Food Process Engineering. | ||
| 653 | |a Model Predictive Control. | ||
| 653 | |a Neurtal Networks. | ||
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