Water demand forecasting using extreme learning machines
The capacity of recently-developed extreme learning machine (ELM) modelling approaches in forecasting daily urban water demand from limited data, alone or in concert with wavelet analysis (W) or bootstrap (B) methods (i.e., ELM, ELMW, ELMB), was assessed, and compared to that of equivalent tradition...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2016-03-01
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| Series: | Journal of Water and Land Development |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/jwld.2016.28.issue-1/jwld-2016-0004/jwld-2016-0004.xml?format=INT |