Machine Learning in Concrete Technology : Machine Learning: Concrete Technology

Language: English

Published by VDM Verlag Dr. Müller, 2011

3639356845 / 9783639356847

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

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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.

Seller Inventory # 9783639356847

Title
Machine Learning in Concrete Technology : Machine Learning: Concrete Technology
Author
Pijush Samui
Publisher
VDM Verlag Dr. Müller
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3639356845
ISBN 13
9783639356847
Item weight
142 grams
Dimensions
22.00x15.00x0.50 cm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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