872 search results - page 73 / 175 » Evolving Complex Neural Networks |
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
ISCAS
1999
IEEE
15 years 2 months ago
1999
IEEE
A signal su ers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear chann...
IJCAI
2007
14 years 11 months ago
2007
TD-FALCON is a self-organizing neural network that incorporates Temporal Difference (TD) methods for reinforcement learning. Despite the advantages of fast and stable learning, TD...
ETFA
2008
IEEE
15 years 4 months ago
2008
IEEE
A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn a first time user’s hand gestures rapidly. This improves pro...
IJCNN
2006
IEEE
15 years 4 months ago
2006
IEEE
—A new application of the NN ensemble approach is presented. It is applied to NN emulations of model physics in complex numerical climate models, and aimed at improving the accur...