748 search results - page 4 / 150 » A Reinforcement Learning Algorithm for Spiking Neural Networ... |
GECCO
2005
Springer
14 years 3 days 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...
IJCNN
2006
IEEE
14 years 19 days ago
2006
IEEE
Abstract - In this paper we develop and analyze Spiking Neural Network (SNN) versions of Resilient Propagation (RProp) and QuickProp, both training methods used to speed up trainin...
ICANN
2007
Springer
14 years 22 days ago
2007
Springer
SpikeStream is a new simulator of biologically structured spiking neural networks that can be used to edit, display and simulate up to 100,000 neurons. This simulator uses a combin...
ESOA
2006
13 years 10 months ago
2006
The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...