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Artificial Neural Networks (ANNs) and Solution of Civil Engineering Problems: ANNs and Prediction Applications
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Author(s): Melda Yucel (Istanbul University-Cerrahpaşa, Turkey), Sinan Melih Nigdeli (Istanbul University-Cerrahpaşa, Turkey)and Gebrail Bekdaş (Istanbul University-Cerrahpaşa, Turkey)
Copyright: 2020
Pages: 26
Source title:
Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Source Author(s)/Editor(s): Gebrail Bekdaş (Istanbul University-Cerrahpaşa, Turkey), Sinan Melih Nigdeli (Istanbul University-Cerrahpaşa, Turkey)and Melda Yücel (Istanbul University-Cerrahpaşa, Turkey)
DOI: 10.4018/978-1-7998-0301-0.ch002
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Abstract
This chapter reveals the advantages of artificial neural networks (ANNs) by means of prediction success and effects on solutions for various problems. With this aim, initially, multilayer ANNs and their structural properties are explained. Then, feed-forward ANNs and a type of training algorithm called back-propagation, which was benefited for these type networks, are presented. Different structural design problems from civil engineering are optimized, and handled intended for obtaining prediction results thanks to usage of ANNs.
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