401 search results - page 5 / 81 » Evolving a neural network using dyadic connections |
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
EVOW
2003
Springer
14 years 28 days ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
CONNECTION
2004
13 years 7 months ago
2004
The Artificial Life approach to Evolutionary Robotics is used as a fundamental framework for the development of a modular neural control of autonomous mobile robots. The applied e...
FLAIRS
2004
13 years 9 months ago
2004
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
ANNS
2010
13 years 2 months ago
2010
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...