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...
Main Authors: | D. V. Makarov, E. A. Kantor, N. A. Krasulina, A. V. Greb, Z. Z. Berezhnova |
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Format: | Article |
Language: | Russian |
Published: |
Kamerton
2019-04-01
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Series: | Юг России: экология, развитие |
Subjects: | |
Online Access: | https://ecodag.elpub.ru/ugro/article/view/1528 |
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