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...

書誌詳細
第一著者:	Guoji, Zang
フォーマット:	Dissertation
言語:	英語英語
出版事項:	2017
主題:	TA Engineering (General). Civil engineering (General) TH Building construction
オンライン･アクセス:	https://etd.uum.edu.my/6556/1/s817333_01.pdf https://etd.uum.edu.my/6556/2/s817333_02.pdf https://etd.uum.edu.my/6556/
Abstract	Abstract here

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