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| Online-Ressource |
Verfasst von: | Lutton, Evelyne [VerfasserIn]  |
Titel: | Evolutionary algorithms for food science and technology |
Mitwirkende: | Perrot, Nathalie [MitwirkendeR]  |
| Tonda, Alberto [MitwirkendeR]  |
Verf.angabe: | Evelyne Lutton, Nathalie Perrot, Alberto Tonda |
Verlagsort: | London, UK ; Hoboken, NJ |
| London, UK ; Hoboken, NJ |
Verlag: | ISTE, Ltd. |
| Wiley |
Jahr: | 2016 |
| 2016 |
Umfang: | 1 online resource (200 pages) |
Gesamttitel/Reihe: | Metaheuristics set ; v. 7 |
Fussnoten: | Includes bibliographical references and index. - Print version record |
ISBN: | 978-1-119-13682-8 |
| 1-119-13682-2 |
| 1-119-13684-9 |
| 978-1-119-13684-2 |
| 1-84821-813-3 |
| 978-1-84821-813-0 |
| 978-1-84821-813-0 |
Abstract: | Researchers and practitioners in food science and technology routinely face several challenges, related to sparseness and heterogeneity of data, as well as to the uncertainty in the measurements and the introduction of expert knowledge in the models. Evolutionary algorithms (EAs), stochastic optimization techniques loosely inspired by natural selection, can be effectively used to tackle these issues. In this book, we present a selection of case studies where EAs are adopted in real-world food applications, ranging from model learning to sensitivity analysis. |
URL: | Aggregator: https://learning.oreilly.com/library/view/-/9781848218130/?ar |
Datenträger: | Online-Ressource |
Sprache: | eng |
Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe |
Sach-SW: | Réseaux neuronaux à structure évolutive |
| COMPUTERS ; Computer Engineering |
| TECHNOLOGY & ENGINEERING ; Food Science |
| Evolutionary computation |
| Food industry and trade ; Mathematical models |
K10plus-PPN: | 1903896665 |
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Lokale URL UB: | Zum Volltext |
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| Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg |
| Bestellen/Vormerken für Benutzer des Klinikums Mannheim Eigene Kennung erforderlich |
Bibliothek/Idn: | UW / m4585440836 |
Lokale URL Inst.: | Zum Volltext |
978-1-119-13682-8,1-119-13682-2,1-119-13684-9,978-1-119-13684-2,1-84821-813-3,978-1-84821-813-0,978-1-84821-813-0
Evolutionary algorithms for food science and technology / Lutton, Evelyne [VerfasserIn]; 2016 (Online-Ressource)
69258625