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» Information complexity of neural networks
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NN
2007
Springer
112views Neural Networks» more  NN 2007»
14 years 11 months ago
An augmented CRTRL for complex-valued recurrent neural networks
Real world processes with an “intensity” and “direction” component can be made complex by convenience of representation (vector fields, radar, sonar), and their processin...
Su Lee Goh, Danilo P. Mandic
ICEIS
1999
IEEE
15 years 4 months ago
Neural Networks for X-Ray Image Segmentation
Su Linying, Bernadette Sharp, Darryl N. Davis
KES
2000
Springer
15 years 3 months ago
Learning incremental syntactic structures with recursive neural networks
Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo,...
NN
2000
Springer
167views Neural Networks» more  NN 2000»
14 years 11 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori