869 search results - page 73 / 174 » An Effective Learning Method for Max-Min Neural Networks |
134
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IJCNN
2006
IEEE
15 years 11 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...
141
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GECCO
2009
Springer
16 years 5 days 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...
173
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WCE
2007
15 years 6 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...
172
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ENGL
2008
15 years 5 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...
162
Voted
ICANN
2009
Springer
15 years 10 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 ...