401 search results - page 55 / 81 » Evolving a neural network using dyadic connections |
ESANN
2008
13 years 9 months ago
2008
Reservoir Computing is a new paradigm for using Recurrent Neural Networks which shows promising results. However, as the recurrent part is created randomly, it typically needs to b...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Centrality is an important notion in network analysis and is used to measure the degree to which network structure contributes to the importance of a node in a network. While many...
EAAI
2008
13 years 7 months ago
2008
This paper presents the design of an infinite horizon nonlinear optimal neurocontroller that replaces the conventional automatic voltage regulator and the turbine governor (CONVC)...
ALIFE
2004
13 years 7 months ago
2004
Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outpu...
CCR
1998
13 years 7 months ago
1998
Two of the most difficult problems faced by developers of synchronous groupware applications are the handling of multiple session connections and the maintenance of replicated dat...