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...
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| Main Authors: | , , , , |
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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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