Abstract
Architecture of the generalized iterative algorithm GIA GMDH with active neurons is presented based on hybridization of iterative and combinatorial search schemes and the use of interactive technologies. The architecture comprises six standard variants of typical GMDH algorithms. Experiments show that the proposed modifications improve considerably the practical performance of the multilayered GMDH algorithm and accuracy of the simulation results. Solution results are given for modeling Ukraine’s Black Sea economic region GRP as dependent from socio-economic indicators that describe the state region development using generalized iterative algorithm GMDH.
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Stepashko, V., Bulgakova, O., Zosimov, V. (2018). Construction and Research of the Generalized Iterative GMDH Algorithm with Active Neurons. In: Shakhovska, N., Stepashko, V. (eds) Advances in Intelligent Systems and Computing II. CSIT 2017. Advances in Intelligent Systems and Computing, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-70581-1_35
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