120 search results - page 8 / 24 » A Recurrent Neural Network that Learns to Count |
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
We shed light on the key ingredients of reservoir computing and analyze the contribution of the network dynamics to the spatial encoding of inputs. Therefore, we introduce attracto...
ICANN
2009
Springer
15 years 2 months ago
2009
Springer
Learning to solve small instances of a problem should help in solving large instances. Unfortunately, most neural network architectures do not exhibit this form of scalability. Our...
NN
2007
Springer
14 years 9 months ago
2007
Springer
Real world processes with an “intensity” and “direction” component can be made complex by convenience of representation (vector fields, radar, sonar), and their processin...
ISADS
1999
IEEE
15 years 1 months ago
1999
IEEE
We believe that communication in multi-agent system has two major meanings. One of them is to transmit one agent's observed information to the other. The other meaning is to ...
ICES
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...