869 search results - page 73 / 174 » An Effective Learning Method for Max-Min Neural Networks |
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
GECCO
2009
Springer
15 years 6 months ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
118
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WCE
2007
15 years 1 months ago
2007
—This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode con...
114
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ENGL
2008
14 years 12 months ago
2008
This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode contro...
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...