35 search results - page 3 / 7 » Optimising the topology of complex neural networks |
NN
2007
Springer
13 years 7 months ago
2007
Springer
Brains are complex networks. Previously, we revealed that specific connected structures are either significantly abundant or rare in cortical networks. However, it remains unkno...
MIG
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. We present a system for automatically evolving neural networks as physics-based locomotion controllers for humanoid characters. Our approach provides two key features: (a...
ICANN
1997
Springer
13 years 11 months ago
1997
Springer
Abstract. In this paper we compare two methods for intrinsic dimensionality (ID) estimation based on optimally topology preserving maps (OTPMs). The rst one is a direct approach, w...
ICML
1995
IEEE
14 years 8 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
GECCO
2004
Springer
14 years 24 days 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 ...