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Artificial neural networks 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 Markovka, O.Y.
dc.contributor.author Lavrenko, S.O.
dc.contributor.author Rudik, O.L.
dc.date.accessioned 2020-06-23T09:07:04Z
dc.date.available 2020-06-23T09:07:04Z
dc.date.issued 2019
dc.identifier.citation Vozhehova R.A., Lykhovyd P.V., Kokovikhin S.V., Biliaieva I.M., Markovka O.Y., Lavrenko S.O., Rudik O.L. Artificial neural networks and their implementation in agricultural science and practice: The monograph. – Warsaw: Diamond trading tour, 2019. – 108 p. ru
dc.identifier.isbn 978-83-66401-06-8
dc.identifier.uri http://hdl.handle.net/123456789/4193
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 contains 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 tasks of different compacity and difficulty level related to agricultural science. The publication 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 The monograph. – Warsaw: Diamond trading tour ru
dc.subject agriculture ru
dc.subject agricultural statistics ru
dc.subject artificial neural network ru
dc.subject classification ru
dc.subject forecasting ru
dc.subject modeling ru
dc.subject simulation ru
dc.subject Кафедра землеробства ru
dc.title Artificial neural networks and their implementation in agricultural science and practice ru
dc.type Book ru


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