Artificial Intelligence and Deep Learning in Civil Engineering

Abstract

Artificial intelligence is a variety of software developed that imitates the human brain to perform the tasks that the human brain can do. Aiming to minimize human intervention, this software has a wide range of content that deals with many problems such as perception, problem-solving, information transfer, planning, natural language processing, and so on. As a purpose-oriented method that can be used in many disciplines, it is preferred with high success rates, especially in the solution of engineering problems. Its sub-branches include machine learning, in which machines are trained to extract information from the available data. Machine learning and deep learning methods, which express more specific learning, make it possible to create a powerful predictive model. In this study, deep learning methods, which are a sub-branch of artificial intelligence and artificial intelligence, and the studies in which these methods are used in civil engineering are explained. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.