Determination of the deformation modulus of binary composite using artificial neural network

Determination of the deformation modulus of binary composite using artificial neural network

Using of existing methods of determining the characteristics of soils which are part of current regulatory documents and which are based on the hypothesis of normal character of distribution require considerable time and material costs. According to the results of conducted laboratory researches...

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Bibliographic Details
Main Author: E. S. Klimanova
Format: Article
Language:English
Published: Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education 2024-06-01
Series:Омский научный вестник
Subjects:
relative error in determining the characteristic
coefficient of determination
regression equation
artificial neural network
sand
granules of expanded polystyrene
Online Access:https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2024/%E2%84%962%20(190)%20%D0%9E%D0%9D%D0%92/153-162%20%D0%9A%D0%BB%D0%B8%D0%BC%D0%B0%D0%BD%D0%BE%D0%B2%D0%B0%20%D0%95.%20%D0%A1..pdf
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https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2024/%E2%84%962%20(190)%20%D0%9E%D0%9D%D0%92/153-162%20%D0%9A%D0%BB%D0%B8%D0%BC%D0%B0%D0%BD%D0%BE%D0%B2%D0%B0%20%D0%95.%20%D0%A1..pdf

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