Evolutionary Algorithms for Food Science and Technology
Жанр: Информационные технологии, Программирование
Издательство:
John Wiley & Sons Limited
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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. На нашем сайте вы можете скачать книгу "Evolutionary Algorithms for Food Science and Technology" Evelyne Lutton в формате pdf, читать книгу онлайн или купить книгу в интернет-магазине.
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