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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-
Identifierhttps://doi.org/10.1007/978-3-030-39391-5_8-
Identifierhttps://link.springer.com/chapter/10.1007/978-3-030-39391-5_8-
Languageen-
Extent21 pagesen
TitleNeuro-fuzzy techniques and Natural Risk Management. Applications of ANFIS models in floods and comparison with other modelsen
CreatorTairidis Georgiosen
CreatorΤαϊριδης Γεωργιοςel
CreatorStojanovic Nikolaen
CreatorStojanovic Nikolael
CreatorStamenkovic Dusanen
CreatorStamenkovic Dusanel
CreatorStavroulakis Georgiosen
CreatorΣταυρουλακης Γεωργιοςel
PublisherSpringer Natureen
Content SummaryDuring 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
Type of ItemΚεφάλαιο σε Βιβλίοel
Type of ItemBook Chapteren
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-07-19-
Date of Publication2020-
SubjectAdaptive neuro-fuzzy inference systemen
SubjectANFISen
SubjectNatural disastersen
SubjectFloodsen
Bibliographic CitationG. 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
Book TitleNatural Risk Management and Engineering: NatRisk Projecten
Book Edition1-
Book SeriesSpringer Tracts in Civil Engineeringen

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