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Neuro-fuzzy techniques and Natural Risk Management. Applications of ANFIS models in floods and comparison with other models

Tairidis Georgios, Stojanovic Nikola, Stamenkovic Dusan, Stavroulakis Georgios

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URIhttp://purl.tuc.gr/dl/dias/652E1B23-4C2D-4F6D-9BAD-F61BD2F1A0EF-
Αναγνωριστικόhttps://doi.org/10.1007/978-3-030-39391-5_8-
Αναγνωριστικόhttps://link.springer.com/chapter/10.1007/978-3-030-39391-5_8-
Γλώσσαen-
Μέγεθος21 pagesen
ΤίτλοςNeuro-fuzzy techniques and Natural Risk Management. Applications of ANFIS models in floods and comparison with other modelsen
ΔημιουργόςTairidis Georgiosen
ΔημιουργόςΤαϊριδης Γεωργιοςel
ΔημιουργόςStojanovic Nikolaen
ΔημιουργόςStojanovic Nikolael
ΔημιουργόςStamenkovic Dusanen
ΔημιουργόςStamenkovic Dusanel
ΔημιουργόςStavroulakis Georgiosen
ΔημιουργόςΣταυρουλακης Γεωργιοςel
ΕκδότηςSpringer Natureen
ΠερίληψηDuring the last decades, floods are getting more and more dangerous and they cause a lot of destruction either for human lives and/or for people’s properties. Due to different climate conditions, some parts of the world present increased levels of danger from floods. For this reason, the development of a robust tool for the prediction of floods is essential for the protection of people who live in these areas. An adaptive neuro-fuzzy inference system is a hybrid fuzzy system, which is based on Sugeno fuzzy inference along with the use of artificial neural networks for training. In this work, the current literature on adaptive neuro-fuzzy inference system models, which are used for flood prediction, is reviewed. More specifically, the mode of operation of such decision-making systems, along with their major advantages and disadvantages are presented in detail. A comparison with other similar models is also carried out.en
ΤύποςΚεφάλαιο σε Βιβλίοel
ΤύποςBook Chapteren
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2022-07-19-
Ημερομηνία Δημοσίευσης2020-
Θεματική ΚατηγορίαAdaptive neuro-fuzzy inference systemen
Θεματική ΚατηγορίαANFISen
Θεματική ΚατηγορίαNatural disastersen
Θεματική ΚατηγορίαFloodsen
Βιβλιογραφική ΑναφοράG. K. Tairidis, N. Stojanovic, D. Stamenkovic, and G. E. Stavroulakis, “Neuro-fuzzy techniques and Natural Risk Management. Applications of ANFIS models in floods and comparison with other models,” in Natural Risk Management and Engineering: NatRisk Project, Springer Tracts in Civil Engineering, M. Gocić, G. T. Aronica, G. E. Stavroulakis, S. Trajković, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 169–189, doi: 10.1007/978-3-030-39391-5_8.en
Τίτλος ΒιβλίουNatural Risk Management and Engineering: NatRisk Projecten
Έκδοση Βιβλίου1-
Σειρά ΒιβλίουSpringer Tracts in Civil Engineeringen

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