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» Neural Network Ensembles for Time Series Prediction
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NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 7 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
IWANN
2009
Springer
14 years 2 months ago
Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise
We study the dynamics of a simple bistable system driven by multiplicative correlated noise. Such system mimics the dynamics of classical attractor neural networks with an addition...
Jorge F. Mejías, Joaquín J. Torres, ...
FUZZY
1994
Springer
194views Fuzzy Logic» more  FUZZY 1994»
13 years 11 months ago
Improving a Fuzzy Inference System by Means of Evolution Strategy
In this paper, evolution strategy is applied in order to improve the time series prediction accuracy of a Sugeno and Takagi type fuzzy inference system FIS. The presented approach...
Willfried Wienholt
CIDM
2007
IEEE
14 years 1 months ago
Application of Neural Networks for Data Modeling of Power Systems with Time Varying Nonlinear Loads
— Nowadays power distribution systems typically operate with nonsinusoidal voltages and currents. Harmonic currents from nonlinear loads propagate through the system and cause ha...
Joy Mazumdar, Ganesh K. Venayagamoorthy, Ronald G....
ESANN
2000
13 years 9 months ago
The K.U.Leuven competition data: a challenge for advanced neural network techniques
In this paper we shortly discuss the K.U. Leuven time-series prediction competition, which has been held in the framework of the International Workshop on Advanced Black-Box Techni...
Johan A. K. Suykens, Joos Vandewalle