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Преимущества дифференциальных моделей в эколого-экономическом моделировании

Преимущества дифференциальных моделей в эколого-экономическом моделировании

Abstract

Показано, что использование эколого-экономических моделей в форме обыкновенных дифференциальных уравнений в задачах прогнозирования развития управляемых систем, предпочтительнее, чем полиномиальных моделей и временных трендов, в смысле адекватности и уменьшения возможного разброса прогнозов, необходимых для принятия решений.

Related Organizations
Keywords

прогнозирование, обыкновенные дифференциальные уравнения, принятие решений, эколого-экономические модели

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green