163 search results - page 8 / 33 » Neural networks organizations to learn complex robotic funct... |
82
Voted
CSREAESA
2004
14 years 11 months ago
2004
- The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
78
Voted
ICANN
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
101
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GI
1998
Springer
15 years 1 months ago
1998
Springer
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
ICONIP
2010
14 years 6 months ago
2010
Abstract. We investigated the network topology organized through spike-timingdependent plasticity (STDP) using pair- and triad-connectivity patterns, considering di erence of excit...
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 ...