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dc.creatorVyklyuk, Yaroslav
dc.creatorRadovanović, Milan M.
dc.creatorMilovanović, Boško
dc.creatorLeko, Taras
dc.creatorMilenković, Milan
dc.creatorMilošević, Zoran
dc.creatorMilanović Pešić, Ana
dc.creatorJakovljević, Dejana M.
dc.date.accessioned2017-09-14T21:14:57Z
dc.date.available2017-09-14T21:14:57Z
dc.date.issued2017
dc.identifier.issn1573-0840
dc.identifier.urihttp://dais.sanu.ac.rs/123456789/1058
dc.description.abstractThe work examines the potential causative link between the flow of charged particles that are coming from the Sun and hurricanes. For establishing eventual link, the method of correlation analysis is applied, but with the phase shift of 0–5 days. There are nine parameters which are observed as an input, and daily values of the hurricane phenomenon are observed as an output in the period May–October 1999–2013. The results that have been obtained are considerably weak, leading to the need of applying the method of nonlinear analysis. The R/S analysis was conducted to determine the degree of randomness for time series of input and output parameters. The calculated Hurst index of variables X4–X9 is persistent (0.71–0.96). That allows us to conclude that the dynamics of these time series is heavily dependent on the same factors or on each other. Unlike the previous index, we have concluded that the behavior of high-energy protons (X1–X3) and the number of hurricane time series are completely stochastic. The problem of finding hidden dependencies in large databases refers to problems of data mining. The Sugeno function of zero order was selected as a method of output fuzzy system. Bearing in mind the available equipment, the models had to be shortened to the phase shift of 0–3 days. The “brute-force attack” method was used to find the most significant factors from all data. Within the experiments, six input factors were calculated which became the basis for building the final ANFIS models. These models can predict 22–26 % of the hurricanes.sr
dc.language.isoensr
dc.publisherSpringer Netherlandssr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/47007/RS//sr
dc.rightsrestrictedAccesssr
dc.sourceNatural Hazardssr
dc.subjectSolar activitysr
dc.subjectHurricanessr
dc.subjectHurst indexsr
dc.subjectANFIS modelssr
dc.titleHurricane genesis modelling based on the relationship between solar activity and hurricanessr
dc.typearticlesr
dc.rights.licenseARRsr
dcterms.abstractМилановић Пешић, Aна; Вyклyук, Yарослав; Радовановић, Милан; Миловановић, Бошко; Леко, Тарас; Миленковић, Милан; Милошевић, Зоран; Јаковљевић, Дејана;
dc.rights.holderSpringer Science+Business Media Dordrechtsr
dc.citation.spage1043
dc.citation.epage1062
dc.citation.volume85
dc.citation.issue2
dc.identifier.wos000391611900021
dc.identifier.doi10.1007/s11069-016-2620-6
dc.identifier.scopus2-s2.0-84991672199
dc.type.versionpublishedVersionsr


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