872 search results - page 7 / 175 » Evolving Complex Neural Networks |
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
In this paper we present the growing hierarchical self-organizing map. This dynamically growing neural network model evolves into a hierarchical structure according to the requirem...