Pubblicazione scientifica

Numerical study of the generalized iterative algorithm GIA GMDH with active neurons

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità

RIASSUNTO

The results of computational investigation of the generalized iterative algorithm GIA GMDH with active neurons are presented. The algorithm's architecture is based on hybridization of iterative and combinatorial search schemes and comprises six standard variants of typical GMDH algorithms. The experiments demonstrate high performance and accuracy of the algorithm. Results of using the GIA GMDH are given for modeling of Ukraine's Black Sea economic region GRP as dependent on socio-economic indicators of the region.

DATA

Data di pubblicazione: 01/09/2017

AUTORI

OLEKSANDRA BULGAKOVA
VOLODYMYR STEPASHKO
VIACHESLAV ZOSIMOV

ENTE DI AFFERENZA

DEPT APPLIED MATHEMATICS & INFO COMPUTER TECH VO SUKHOMLYNSKY MYKOLAIV NATL UNIV MYKOLAIV UKRAINE
DEPT INFO TECH OF INDUCTIVE MODELING INTL RSCH & TRAINING CTR INFO TECH & SYS KYIV UKRAINE

RIVISTA

2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) (Volume: 1, Page(s): 496-500)

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