Numerical study of the generalized iterative algorithm GIA GMDH with active neurons
Oleksandra Bulgakova, Volodymyr Semenovych Stepashko, Viacheslav Zosimov · 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) · 2017
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.