Sciweavers

1029 search results - page 86 / 206
» Neural Networks and Complexity Theory
Sort
View
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 9 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
NN
2006
Springer
15 years 4 months ago
Propagation and control of stochastic signals through universal learning networks
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Kotaro Hirasawa, Shingo Mabu, Jinglu Hu
ICRA
2008
IEEE
143views Robotics» more  ICRA 2008»
15 years 10 months ago
Pattern generators with sensory feedback for the control of quadruped locomotion
— Central Pattern Generators (CPGs) are becoming a popular model for the control of locomotion of legged robots. Biological CPGs are neural networks responsible for the generatio...
Ludovic Righetti, Auke Jan Ijspeert
JOCN
2011
123views more  JOCN 2011»
14 years 11 months ago
Neural Correlates of Abstract Verb Processing
orrelates of Abstract Verb Processing Javier Rodríguez-Ferreiro1 , Silvia P. Gennari2 , Robert Davies3 , and Fernando Cuetos4 ■ The present study investigated the neural correl...
Javier Rodríguez-Ferreiro, Silvia P. Gennar...
WSOM
2009
Springer
15 years 11 months ago
Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
Andreas Andreakis, Nicolai von Hoyningen-Huene, Mi...