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Artificial neural network and their implementation in agricultural science and practice

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dc.contributor.author Vozhehova, R. A.
dc.contributor.author Lykhovyd, P. V.
dc.contributor.author Kokovikhin, S.V.
dc.contributor.author Biliaieva, I.M.
dc.contributor.author Markovska, O.Y.
dc.contributor.author lavrenko, S.O.
dc.contributor.author Rudik, O.L.
dc.date.accessioned 2020-05-04T17:51:15Z
dc.date.available 2020-05-04T17:51:15Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/123456789/3055
dc.description.abstract The monograph is dedicated to the overview of the core and peculiarities of practical use in agricultural science of the newest data processing tool - artificial neural networks. The issue necessary systematized information about the essential properties, methodology, key features of artificial neural networks, provides the reader with information about historical path and incipience of the computation technique, its main advantages, drawbacks, and pitfalls, further prospects of development and implementation in different branches of agricultural science and practice. A special attention is paid to the practical usage of artificial neural networks within various computer software applications for solving the task of different compacity and difficulty level related to agricultural science. The publications is targeted on the wide range of specialists in the field of agriculture including scientists, students, and agricultural producers. ru
dc.language.iso en ru
dc.publisher Warsaw: «Diamond trading tour» ru
dc.subject agricultural science ru
dc.subject artificial neural networks ru
dc.subject methodology ru
dc.subject essential properties ru
dc.subject Кафедра ботаніки та захисту рослин ru
dc.title Artificial neural network and their implementation in agricultural science and practice ru
dc.type Book ru


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