139 search results - page 8 / 28 » Multi-step-ahead prediction using dynamic recurrent neural n... |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
—This paper investigates the application of a new kind of recurrent neural network called Echo State Networks (ESNs) for the problem of measuring the actual amount of harmonic cu...
NIPS
1993
14 years 11 months ago
1993
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
AIA
2006
14 years 11 months ago
2006
This paper presents a dynamic neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of th...
ESANN
2007
14 years 11 months ago
2007
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
ESANN
2003
14 years 11 months ago
2003
Small recurrent neural network with two and three neurons are able to control autonomous robots showing obstacle avoidance and photo-tropic behaviors. They have been generated by e...