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Evolutionary Algorithms for Food Science and Technology
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Kitap hakkında
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.
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Kitap açıklaması
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.
Kitab Evelyne Lutton, Nathalie Perrot v.s. «Evolutionary Algorithms for Food Science and Technology» — saytda onlayn oxuyun. Şərh və rəylərinizi qeyd edin, sevimlilərinizi seçin.
Yaş sınırı:
0+Litres'teki yayın tarihi:
22 haziran 2018Hacim:
187 s. ISBN:
9781119136842Toplam boyut:
6.6 МБToplam sayfa sayısı:
187Yayıncı:
Telif hakkı:
John Wiley & Sons Limited
