Machine Learning Concrete Technology by Samui Pijush (6 results)

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  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011

    3639356845 / 9783639356847

    • Softcover

    Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    Condition: New. pp. 84.

  • Language: English

    Published by VDM Verlag Dr. Müller, 2011

    3639356845 / 9783639356847

    • Softcover

    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: Neu. Machine Learning in Concrete Technology | Machine Learning: Concrete Technology | Pijush Samui (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639356847 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011

    3639356845 / 9783639356847

    • Softcover
    • Print on Demand

    Seller: Majestic Books, Hounslow, United KingdomMajestic Books

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    Condition: New. Print on Demand pp. 84 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

  • Language: English

    Published by VDM Verlag Dr. Müller, 2011

    3639356845 / 9783639356847

    • Softcover
    • Print on Demand

    Seller: moluna, Greven, Germanymoluna

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    Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Samui PijushDr. Pijush Samui is an associate professor at CDMM in VIT University, Vellore, India. Dr. S.K. Sekar is the director of CDMM in VIT University. Kallyan Kulkarni is a postgraduate student at VIT universityAutor.…

  • Language: English

    Published by VDM Verlag Dr. Müller, 2011

    3639356845 / 9783639356847

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The determination of Elastic Modulus (E) of normal strength concrete is an important task in civil engineering for infrastructure development. Experimental methods for determination of E value of normal strength concrete are complicated and time consuming. This article employs an Artificial Intelligence (AI) technique for prediction of E value of normal strength concrete. The results are compared with a widely used Artificial Neural Network (ANN), Support Vector Machine (SVM) model and empirical equation from the different buildings codes. Equations have been also developed for determination of E value of normal strength concrete based on the AI. The developed AI model also gives error bar of predicted E value. The predicted error bar can be used to determine model uncertainty. This study shows that the developed AI is a robust model for prediction of E value of normal strength concrete.…

  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011

    3639356845 / 9783639356847

    • Softcover
    • Print on Demand

    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    Condition: New. PRINT ON DEMAND pp. 84.