Detail publikačního výsledku

HYBRID STOCHASTIC FORECASTING MODEL FOR MANAGEMNT OF LARGE OPEN WATER RESERVOIR WITH STORAGE FUNCTION

KOZEL, T.; STARÝ, M.

Originální název

HYBRID STOCHASTIC FORECASTING MODEL FOR MANAGEMNT OF LARGE OPEN WATER RESERVOIR WITH STORAGE FUNCTION

Anglický název

HYBRID STOCHASTIC FORECASTING MODEL FOR MANAGEMNT OF LARGE OPEN WATER RESERVOIR WITH STORAGE FUNCTION

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Content of article is construction and application of forecasting model for managed large open water reservoir with supply function. Model is based on neural networks (NS) and zone models, which forecasting values of average monthly flow from inputs values of average monthly flow, learned neural network and random numbers. Part of data was sorted to one moving zone.

Anglický abstrakt

Content of article is construction and application of forecasting model for managed large open water reservoir with supply function. Model is based on neural networks (NS) and zone models, which forecasting values of average monthly flow from inputs values of average monthly flow, learned neural network and random numbers. Part of data was sorted to one moving zone.

Klíčová slova

average monthly flow, neural networks, reservoir

Klíčová slova v angličtině

average monthly flow, neural networks, reservoir

Autoři

KOZEL, T.; STARÝ, M.

Rok RIV

2018

Vydáno

09.09.2017

Nakladatel

IOP Conference Series: Earth and Environmental Science

Kniha

IOP Conference Series: Earth and Environmental Science, Volume 95

ISSN

1755-1315

Periodikum

IOP Conference Series: Earth and Environmental Science

Svazek

95, 2017

Číslo

95

Stát

Spojené království Velké Británie a Severního Irska

Strany od

81

Strany do

87

Strany počet

6

URL

http://iopscience.iop.org/article/10.1088/1755-1315/95/2/022003/meta

BibTex

@inproceedings{BUT143242,
  author="Tomáš {Kozel} and Miloš {Starý}",
  title="HYBRID STOCHASTIC FORECASTING MODEL FOR MANAGEMNT OF LARGE OPEN WATER RESERVOIR WITH STORAGE FUNCTION",
  booktitle="
IOP Conference Series: Earth and Environmental Science, Volume 95",
  year="2017",
  journal="IOP Conference Series: Earth and Environmental Science",
  volume="95, 2017",
  number="95",
  pages="81--87",
  publisher="IOP Conference Series: Earth and Environmental Science",
  doi="10.1088/1755-1315/95/2/022003",
  issn="1755-1315",
  url="http://iopscience.iop.org/article/10.1088/1755-1315/95/2/022003/meta"
}