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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书目详细资料
主要作者: Guoji, Zang
格式: Thesis
语言:英语
英语
出版: 2017
主题:
在线阅读:https://etd.uum.edu.my/6556/1/s817333_01.pdf
https://etd.uum.edu.my/6556/2/s817333_02.pdf