136 search results - page 10 / 28 » Analog Hardware Model for Morphological Neural Networks |
Book
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
ESANN
1998
13 years 9 months ago
1998
Our problem concerns the joint interpretation of UltraSonic and InfraRed measurements provided by a composite proximity sensor, in order to extract geometrical and morphological f...
IEICET
2007
13 years 7 months ago
2007
We designed subthreshold analog MOS circuits implementing an inhibitory network model that performs noise-shaping pulse-density modulation with noisy neural elements. Our aim is t...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neuro...
IWANN
2001
Springer
14 years 2 days ago
2001
Springer
In the beginning of nineties, Hava Siegelmann proposed a new computational model, the Artificial Recurrent Neural Network (ARNN), and proved that it could perform hypercomputation....