Simbolička regresija za predviđanje vremenskih nizova uporabom genetskog programiranja

undergraduate thesis

• Title (english): Symbolic regression based forecasting with genetic programming
• Author: Domagoj Penić
• Mentor: Domagoj Jakobović (mentor)
• Committee member: Domagoj Jakobović (predsjednik povjerenstva)
• Committee member: Nikolina Frid (član povjerenstva)
• Committee member: Marko Đurasević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2016-07-11, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Problem predviđanja vremenskih nizova jedan je vrlo unosnih i korisnih područja te ima značajnu ulogu u različitim industrijama. Svrha ovog rada jest demonstrirati primjenu metoda genetskog programiranja na različitim problemima čije se vrijednosti mogu predstaviti kao vremenski nizovi. Ostvaren je programski sustav koji se temelji na osnovnoj implementaciji genetskog programiranja te su pomoću njega ispitani utjecaji različitih parametara genetskog programiranja. Konačno, dana su razmatranja dobivenih rezultata te mogućnosti nadogradnje programskog sustava.

Abstract (english)

Time series forecasting is very profitable and valuable area and has an important role in different industries. The goal of this paper is to demonstrate the application of genetic programming methods on the various problems which can be presented as time series. Within this paper software system which is based on basic implementation of genetic programming is realized and which is used to determine impacts of different genetic programming parameters. Finally, further consideration of results is given as well some possible software improvements.

• Keywords: genetsko programiranje; simbolička regresija; predviđanje; programski sustav
• Keywords (english): genetic programming; symbolic regression; forecasting; software system
• Language: croatian
• URN:NBN: urn:nbn:hr:168:824578
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 11:10:25