Evaluation of the impact of explanatory variables on the accuracy of prediction of daily inflow to the sewage treatment plant by selected models nonlinear
The aim of the study was to evaluate the possibility of applying different methods of data mining to model the inflow of sewage into the municipal sewage treatment plant. Prediction models were elaborated using methods of support vector machines (SVM), random forests (RF), k-nearest neighbour (k-NN)...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2017-09-01
|
| Series: | Archives of Environmental Protection |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/aep.2017.43.issue-3/aep-2017-0030/aep-2017-0030.xml?format=INT |