35 search results - page 1 / 7 » Using evolution to improve neural network learning: pitfalls... |
NCA
2007
IEEE
13 years 4 months ago
2007
IEEE
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
BMVC
1998
13 years 6 months ago
1998
In this paper a fast method of selecting a neural network architecture for pattern recognition tasks is presented. We demonstrate that our proposed method of selecting both input ...
ASC
2004
13 years 4 months ago
2004
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
ETFA
2008
IEEE
13 years 11 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...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...