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4 篇 会议

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检索条件"主题词=combinatorial algorithm COMBI"

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Data reconstruction of seasonal changes of amylolytic microorganisms amount in copper polluted soils 13

Data reconstruction of seasonal changes of amylolytic microo...

引用

13th IEEE International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)

作者： Moroz, Olha Stepashko, Volodymyr NASU Int Res & Training Ctr Informat Technol & Syst Dept Informat Technol Induct Modelling Glushkov Ave 40 UA-03680 Kiev Ukraine MESU Glushkov Ave 40 UA-03680 Kiev Ukraine

The article presents the application results of the combinatorial-genetic algorithm combi-GA for reconstruction the missing decade data in the series of observations of amylolytic microorganisms quantity in a soil plo... 详细信息

ISBN: (纸本)9781538664636

关键词： inductive modelling GMDH combinatorial algorithm combi genetic algorithm GA hybrid algorithm combi-GA amylolytic microorganisms soil heavy metals data reconstruction

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Comparative Effectiveness of Some Approaches to Extracting Most Informative Factors Influencing Algae Bioproductivity 10

Comparative Effectiveness of Some Approaches to Extracting M...

引用

10th International Conference on Advanced Computer Information Technologies (ACIT)

作者： Pidnebesna, Halyna Stepashko, Volodymyr NAS&MES Ukraine Int Res & Training Ctr Informat Technol & Syst Dept Informat Technol Induct Modeling Akad Glushkov Ave 40 UA-03680 Kiev Ukraine

ISBN: (数字)9781728167602

ISBN: (纸本)9781728167602

Water eutrophication is a worldwide environmental problem. Understanding the mechanisms of the process help to prevent and remediate such eutrophication. The paper presents researches of the dependence of chlorophyll a concentration in phytoplankton on a number of different physicochemical factors on the basis of long-term observation data in the Kakhovka reservoir of Dnipro River. Four modeling methods were applied in this work: linear regression, two sorting-out GMDH algorithms (complete search combinatorial algorithm combi and directional search correlation-based sorting algorithm with regressors rating analysis CAR) and the LASSO. Main stress is laid on the possibility of automatic (more objective) discovering the most informative factors influencing algae bioproductivity.

关键词： GMDH correlation-based sorting algorithm with regressors rating analysis CAR combinatorial algorithm combi algorithm LASSO impacting factors inductive modeling phytoplankton chlorophyll a concentration

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combi-GA sorting-out algorithm with evolutionary complication of models 12

COMBI-GA sorting-out algorithm with evolutionary complicatio...

引用

12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)

作者： Moroz, Olha NASU Int Res & Training Ctr Informat Technol & Syst Dept Informat Technol Induct Modelling Glushkov Ave 40 UA-03680 Kiev Ukraine MESU Glushkov Ave 40 UA-03680 Kiev Ukraine

ISBN: (纸本)9781538616390

The paper presents a new mechanism to apply evolutionary complication of models in the previously introduced hybrid combi-GA sorting-out algorithm to find optimal model structure. The mechanism is based on generation of model structures using binomial random number generator with low probability and specific mutation operator. The presented experimental results demonstrate that this algorithm performs quickly, accurately and reliably when solving artificial inductive modelling tasks.

关键词： GMDH combinatorial algorithm combi Genetic algorithm combi-GA algorithm model complication

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Data reconstruction of seasonal changes of amylolytic microorganisms amount in copper polluted soils

Data reconstruction of seasonal changes of amylolytic microo...

引用

International Scientific and Technical Conference on Computer Science and Information Technologies

作者： Olha Moroz Volodymyr Stepashko Department for Information Technologies of Inductive Modelling Systems of the NASU and MESU Kyiv Ukraine