Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/12498
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dc.contributor.authorSimić, Draganen
dc.contributor.authorGajić V.en
dc.contributor.authorSimić S.en
dc.date.accessioned2020-03-03T14:48:44Z-
dc.date.available2020-03-03T14:48:44Z-
dc.date.issued2010-07-20en
dc.identifier.isbn3642137687en
dc.identifier.issn3029743en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/12498-
dc.description.abstractBiological systems are inspiration for the design of optimisation and classification models. Applying various forms of bio-inspired algorithms may be a very high-complex system. Modelling of financial markets is challenging for several reasons, because many plausible factors impact on it. An automated trading on financial market is not a new phenomenon. The model of bio-inspired hybrid adaptive trading system based on technical indicators usage by grammatical evolution and moving window is presented in this paper. The proposed system is just one of possible bio-inspired system which can be used in financial forecast, corporate failure prediction or bond rating company. © 2010 Springer-Verlag.en
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en
dc.titleAn approach of bio-inspired hybrid model for financial marketsen
dc.typeConference Paperen
dc.identifier.doi10.1007/978-3-642-13769-3_25en
dc.identifier.scopus2-s2.0-77954588073en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/77954588073en
dc.relation.lastpage212en
dc.relation.firstpage205en
dc.relation.issuePART 1en
dc.relation.volume6076 LNAIen
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za saobraćaj-
crisitem.author.parentorgFakultet tehničkih nauka-
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