A tree-based solution to nonlinear regression problem

dc.citation.epage1236en_US
dc.citation.spage1233en_US
dc.contributor.authorDemir, Oğuzhanen_US
dc.contributor.authorNeyshabouri, Mohammadreza Mohagheghen_US
dc.contributor.authorDelibalta, İ.en_US
dc.contributor.authorKozat, Süleyman Serdaren_US
dc.coverage.spatialZonguldak, Turkeyen_US
dc.date.accessioned2018-04-12T11:48:29Z
dc.date.available2018-04-12T11:48:29Z
dc.date.issued2016en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 16-19 May 2016en_US
dc.descriptionConference Name: IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016en_US
dc.description.abstractIn this paper, we offer and examine a new algorithm for sequential nonlinear regression problem. In this architecture, we use piecewise adaptive linear functions to find the nonlinear regression model sequentially. For more accurate and faster convergence, we combine a large class of piecewise linear functions. These piecewise linear functions are constructed by composing different adaptive linear functions, which are represented by the nodes of a lexicographical tree. With this tree structure, computational complexity of the algorithm is significantly reduced. To show the performance of the proposed algorithm, we present a simulation which is performed by using a well-known real data set.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:48:29Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016en
dc.identifier.doi10.1109/SIU.2016.7495969en_US
dc.identifier.urihttp://hdl.handle.net/11693/37702
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2016.7495969en_US
dc.source.titleProceedings of the IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016en_US
dc.subjectOn-line learningen_US
dc.subjectClassificationen_US
dc.subjectComputational efficiencyen_US
dc.titleA tree-based solution to nonlinear regression problemen_US
dc.title.alternativeAğaç kullanımı ile doğrusal olmayan bağlanım probleminin çözümüen_US
dc.typeConference Paperen_US

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