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| book details |
Evolutionary Algorithms for Food Science and Technology
By (author)
Evelyne Lutton
, By (author)
Nathalie Perrot
, By (author)
Alberto Tonda
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| book description |
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.
| product details |
Normally shipped |
Enquiries only
Publisher |
John Wiley & Sons Inc
Published date |
22 Nov 2016
Language |
Format |
Digital (delivered electronically)
Pages |
182
Dimensions |
0 x 0 x 0mm (L x W x H)
Weight |
0g
ISBN |
978-1-1191-3683-5
Readership Age |
BISAC |
computers / computer science
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Survive the AI Apocalypse: A guide for solutionists
Bronwen Williams
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232 pages
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Let's stare the future down and, instead of fearing AI, become solutionists.
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The Coming Wave: AI, Power and Our Future
Mustafa Suleyman
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352 pages
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Living in a hut in 21st Century South Africa
Monde Ndandani
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The Memory Collectors: A Novel
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