An Overview Current Application of Artificial Neural Network in Concrete

被引：18

作者：

Kudus, Sakhiah Abdul ^{[1
]}

Bunnori, Norazura Muhamad ^{[1
]}

Basri, Siti Ramziah ^{[1
]}

Shahidan, Shahiron ^{[1
]}

Jamil, Mohd Nazli Md ^{[1
]}

Nor, Noorsuhada Md ^{[2
]}

机构：

[1] Univ Sains Malaysia, Sch Civil Engn, Engn Campus, Nibong Tebal 14300, Penang, Malaysia

[2] Univ Teknol MARA, Fac Civil Engn, Permatang Pauh, Pinang, Malaysia

来源：

ADVANCED MATERIALS ENGINEERING AND TECHNOLOGY | 2012年 / 626卷

关键词：

Neural network; application; concrete; COMPRESSIVE STRENGTH; DAMAGE DETECTION; PREDICTION;

D O I：

10.4028/www.scientific.net/AMR.626.372

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents the overview of aArtificial Neural Network (ANN) in the scope of civil engineering application. ANN is one of the artificial intelligence (AI) applications which are currently one of the effective methods used by engineers and researchers to solve technical problems in many scopes of engineering field. One of the explicit criteria of ANN is the ability of the network to deal with the incomplete data and have the capability of learning from experience. This network is also able to adapt to new and changing situation or environment.

引用

页码：372 / +

页数：2

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