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Hajm 187 sahifalar
Evolutionary Algorithms for Food Science and Technology
2 305 957,31 soʻm
Kitob haqida
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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Kitob tavsifi
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.
Kitob Evelyne Lutton, Nathalie Perrot va boshqalar «Evolutionary Algorithms for Food Science and Technology» — veb-saytda onlayn o'qing. Fikr va sharhlar qoldiring, sevimlilarga ovoz bering.
Yosh cheklamasi:
0+Litresda chiqarilgan sana:
22 iyun 2018Hajm:
187 Sahifa ISBN:
9781119136842Umumiy o'lcham:
6.6 МБUmumiy sahifalar soni :
187Matbaachilar:
Mualliflik huquqi egasi:
John Wiley & Sons Limited
