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 ...
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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.
The article presents the application results of the combinatorial-genetic algorithmcombi-GA for reconstruction the missing decade data in the series of observations of amylolytic microorganisms quantity in a soil plo...
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ISBN:
(纸本)9781538664636
The article presents the application results of the combinatorial-genetic algorithmcombi-GA for reconstruction the missing decade data in the series of observations of amylolytic microorganisms quantity in a soil plot polluted by copper.
The article presents the application results of the combinatorial-genetic algorithmcombi-GA for reconstruction the missing decade data in the series of observations of amylolytic microorganisms quantity in a soil plo...
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The article presents the application results of the combinatorial-genetic algorithmcombi-GA for reconstruction the missing decade data in the series of observations of amylolytic microorganisms quantity in a soil plot polluted by copper.
作者：
Moroz, OlhaNASU
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 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 ...
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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.
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