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125
Voted
IJCNN
2006
IEEE
15 years 8 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 ...
122
Voted
NCA
2008
IEEE
15 years 2 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...
109
Voted
IJCNN
2006
IEEE
15 years 8 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...
151
Voted
ACG
2003
Springer
15 years 8 months 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...
140
Voted
ECAL
2001
Springer
15 years 7 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 ...