Abstract
In recent years, artificial intelligence (AI) and one of the sub-fields for it, which is machine learning, became significant in numerous study disciplines. During the determination of some results or finding of required parameters/information, these technologies provides many advantages and easiness for the usage of people such as researchers, designers, engineers, inventors and each kind of person dealt with them in terms of ease of use, saving of time, besides cost and efficiency for effort. In this chapter, a comprehensive research was presented intended for AI and machine learning technology together with their historical evaluation and applications. Also, a review of frequently-used machine learning techniques were imparted. As addition to these, many applications respect to some fields and also several studies of the structural engineering area were explained detailly. Furthermore, prediction studies carried out in structural engineering were demonstrated with all stages. In this regard, all of studies performed with the usage of different machine learning techniques were given in six sub-headings. As it can be understood from many developments, AI and machine learning technologies and application of them are pretty significant in terms of providing of beneficial situations and the usage of them will be more substantial and remarkable day by day.
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Yücel, M., Nigdeli, S.M., Bekdaş, G. (2021). Artificial Intelligence and Machine Learning with Reflection for Structural Engineering: A Review. In: Nigdeli, S.M., Bekdaş, G., Kayabekir, A.E., Yucel, M. (eds) Advances in Structural Engineering—Optimization. Studies in Systems, Decision and Control, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-030-61848-3_2
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