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Derivation of effective and efficient data set with subtractive clustering method and genetic algorithm
Derivation effective and efficient data set subtractive clustering method genetic algorithm
2009/12/4
Success of any forecasting model depends heavily on reliable historical data, among others. Data are needed to calibrate, fine tune and verify any simulation model. However, data are very often contam...
Fuzzy Clustering Neural Network as Flood Forecasting Model
Fuzzy Clustering Neural Network Flood Forecasting Model
2009/10/22
Flood forecasting is always a challenge in Taiwan, which has a subtropical climate
and high mountains. This paper develops a fuzzy clustering neural network
(FCNN), and implements this novel structu...
Clustering of heterogeneous precipitation fields for the assessment and possible improvement of lumped neural network models for streamflow forecasts
rainfall-runoff Clustering
2009/5/13
This work addresses the issue of better considering the heterogeneity of precipitation fields within lumped rainfall-runoff models where only areal mean precipitation is usually used as an input. A me...
Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self-Organizing Map
self-organizing map Exploratory data analysis
2009/5/8
The use of unsupervised artificial neural network techniques like the self-organizing map (SOM) algorithm has proven to be a useful tool in exploratory data analysis and clustering of multivariate dat...