FORECASTING VALUES OF CHROMATICITY OF DRINKING AND SOURCE WATERS USING ARIMA MODEL AND NEURAL NETWORK

FORECASTING VALUES OF CHROMATICITY OF DRINKING AND SOURCE WATERS USING ARIMA MODEL AND NEURAL NETWORK

Aim. In the present investigation artificial neural network (ANN) and ARIMA-model are compared for forecasting of data of colour of water.Methods. Data corresponds to the colour of water of groundwater and drinking water of water intake of south-east region of the Republic of Belarus. The definition...

Полное описание

Библиографические подробности
Главные авторы: D. V. Makarov, E. A. Kantor, N. A. Krasulina, A. V. Greb, Z. Z. Berezhnova
Формат: Статья
Язык:Russian
Опубликовано: Kamerton 2019-04-01
Серии:Юг России: экология, развитие
Предметы:
groundwater
water quality indices
artificial neural network
colour
arimamodel
Online-ссылка:https://ecodag.elpub.ru/ugro/article/view/1528

Internet

https://ecodag.elpub.ru/ugro/article/view/1528

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