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IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—This paper proposes a new architecture for robot control. A test scenario is outlined to test the proposed system and enable a comparison with an existing system, which is able ...
NCA
2008
IEEE
13 years 7 months ago
2008
IEEE
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
ACG
2003
Springer
14 years 18 days ago
2003
Springer
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...
ECAL
2001
Springer
13 years 12 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...