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» Encoding Closure Operators into Neural Networks
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SBRN
1998
IEEE
13 years 9 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...
FLAIRS
2004
13 years 6 months ago
Spatiotemporal Novelty Detection Using Resonance Networks
We present a single-layer recurrent neural network that implements novelty detection for spatiotemporal patterns. The architecture is based on the structure of region CA3 in the h...
Benjamin A. Rowland, Anthony S. Maida
CEC
2009
IEEE
14 years 3 days ago
Evolving coordinated quadruped gaits with the HyperNEAT generative encoding
— Legged robots show promise for complex mobility tasks, such as navigating rough terrain, but the design of their control software is both challenging and laborious. Traditional...
Jeff Clune, Benjamin E. Beckmann, Charles Ofria, R...
IJCNN
2000
IEEE
13 years 9 months ago
Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network
A self-organizing neural network for learning and recall of complex temporal sequences is proposed. we consider a single sequence with repeated items, or several sequences with a c...
Guilherme De A. Barreto, Aluizio F. R. Araú...
JUCS
2006
95views more  JUCS 2006»
13 years 5 months ago
Fault Tolerant Neural Predictors for Compression of Sensor Telemetry Data
: When dealing with remote systems, it is desirable that these systems are capable of operation within acceptable levels with minimal control and maintenance. In terms or transmiss...
Rajasvaran Logeswaran