Artificial Neural Networks – Some Applications in Structural Engineering
نویسنده
چکیده
1 Paper presented at the Annual PAASE Meeting and Symposium (APAMS 2007), March 15-17, 2007 Book of Abstracts ( ISSN 1908-5907), Proceedings in CD (IISN: 1908-5982) Artifical Neural Networks (ANNs) are powerful computing tools which were inspired by the neural architecture of the human brain. ANNs adapt solutions and are capable of learning the interrelationships among multiple variables by simply presenting them with data. In the last decade, ANNs have started to be used in the modeling of various civil engineering systems and their components. This paper presents some ANN applications of the author in structural engineering. Specifically, ANN models were developed for the following applications: (a) Confined compressive strength and strain of circular concrete columns, (b) Shear strength of RC beams without stirrups, and (c) Natural Period of RC Buildings.
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