A compressive concrete strength prediction model using artificial neural networks

A building is at a high risk of destruction if the compressive concrete strength does not meet the required specification. Thus, the prediction of compressive concrete strength has become an important research area. Previous prediction models are based on fix numbers of attributes. Consequently, whe...

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Bibliographic Details
Main Author:	Guoji, Zang
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	TA Engineering (General). Civil engineering (General) TH Building construction
Online Access:	https://etd.uum.edu.my/6556/1/s817333_01.pdf https://etd.uum.edu.my/6556/2/s817333_02.pdf

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