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» On computational limitations of neural network architectures
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ACSC
2005
IEEE
14 years 1 months ago
Graph Grammar Encoding and Evolution of Automata Networks
The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the opt...
Martin H. Luerssen
MIRRORBOT
2005
Springer
119views Robotics» more  MIRRORBOT 2005»
14 years 29 days ago
A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots
 Audition is one of our most important modalities and is widely used  to communicate and sense the environment around us.  We present an auditory  robotic...
John C. Murray, Harry R. Erwin, Stefan Wermter
FPL
1994
Springer
170views Hardware» more  FPL 1994»
13 years 11 months ago
A Fast FPGA Implementation of a General Purpose Neuron
The implementation of larger digital neural networks has not been possible due to the real-estate requirements of single neurons. We present an expandable digital architecture whic...
Valentina Salapura, Michael Gschwind, Oliver Maisc...
ICPPW
2003
IEEE
14 years 23 days ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
IJCNN
2006
IEEE
14 years 1 months ago
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...