128 search results - page 4 / 26 » Recurrent Neural Networks with Iterated Function Systems Dyn... |
ISNN
2007
Springer
15 years 3 months ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
NN
1998
Springer
14 years 9 months ago
1998
Springer
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
ACSC
2008
IEEE
14 years 11 months ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
NECO
2010
14 years 7 months ago
2010
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...