146 search results - page 3 / 30 » Learning with Neural Networks in the Domain of Graphs |
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
This paper presents a new architecture of neural networks designed for pattern recognition. The concept of induction graphs coupled with a divide-and-conquer strategy defines a Gr...
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
HIS
2008
13 years 7 months ago
2008
The performance of Artificial Neural Networks is largely influenced by the value of their parameters. Among these free parameters, one can mention those related with the network a...
ICANN
2009
Springer
13 years 10 months ago
2009
Springer
Learning to solve small instances of a problem should help in solving large instances. Unfortunately, most neural network architectures do not exhibit this form of scalability. Our...
GECCO
2004
Springer
13 years 11 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...