872 search results - page 26 / 175 » Evolving Complex Neural Networks |
ECAL
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. Path integration is a widely used method of navigation in nature whereby an animal continuously tracks its location by integrating its motion over the course of a journey...
ICANN
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
CIG
2006
IEEE
15 years 3 months ago
2006
IEEE
— In this paper, coevolution is used to evolve Artificial Neural Networks (ANN) which evaluate board positions of a two player zero-sum game (The Virus Game). The coevolved neura...
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
The generalization ability of different sizes architectures with one and two hidden layers trained with backpropagation combined with early stopping have been analyzed. The depend...