Machine Learning in Concrete Technology: Machine Learning: Concrete Technology - Kallyan Kulkarni - Bøger - VDM Verlag Dr. Müller - 9783639356847 - 11. maj 2011
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Machine Learning in Concrete Technology: Machine Learning: Concrete Technology

Kallyan Kulkarni

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Machine Learning in Concrete Technology: Machine Learning: Concrete Technology

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.

Medie Bøger     Paperback Bog   (Bog med blødt omslag og limet ryg)
Udgivet 11. maj 2011
ISBN13 9783639356847
Forlag VDM Verlag Dr. Müller
Antal sider 84
Mål 150 × 5 × 226 mm   ·   136 g
Sprog Engelsk