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ESANN
2003
15 years 8 months ago
Comparison of neural algorithms for blind source separation in sensor array applications
- A test bed of experiments with real and artificially generated data has been designed to compare the performance of three well-known algorithms for BSS. The main goal of these ex...
Guillermo Bedoya, Sergio Bermejo, Joan Cabestany
ICANN
2005
Springer
16 years 9 days ago
Can Dynamic Neural Filters Produce Pseudo-Random Sequences?
Abstract. Dynamic neural filters (DNFs) are recurrent networks of binary neurons. Under proper conditions of their synaptic matrix they are known to generate exponentially large c...
Yishai M. Elyada, David Horn
CONNECTION
2004
92views more  CONNECTION 2004»
15 years 6 months ago
High capacity associative memories and connection constraints
: High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those traine...
Neil Davey, Rod Adams
ATAL
2010
Springer
15 years 8 months ago
How important are updating schemes in multi-agent systems? An illustration on a multi-turmite model
It is to date an open question to know how the updating methods affect the evolution of a multi-agent system. This question has been tackled for various complex systems such as ce...
Nazim Fatès, Vincent Chevrier
SEMWEB
2009
Springer
16 years 1 months ago
Learning to Map Ontologies with Neural Network
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross training...
Yefei Peng, Paul W. Munro, Ming Mao