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Subsymbolic methods for data mining in hydraulic engineering
Subsymbolic methods data mining hydraulic engineering
2009/12/7
This paper describes the results of experiments with artificial neural networks (ANNs) and genetic programming (GP) applied to some problems of data mining. It is shown how these subsymbolic methods c...
Assessment of hydrological and seasonal controls over the nitrate flushing from a forested watershed using a data mining technique
seasonal controls nitrate flushing forested watershed
2009/4/29
A data mining, regression tree algorithm M5 was used to review the role of mutual hydrological and seasonal settings which control the streamwater nitrate flushing during hydrological events within a ...
The application of data mining techniques for the regionalisation of hydrological variables
regionalisation floods catchment characteristics data mining
2009/3/17
Flood quantile estimation for ungauged catchment areas continues to be a routine problem faced by the practising Engineering Hydrologist, yet the hydrometric networks in many countries are reducing r...