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126
Voted
ICANN
2001
Springer
15 years 8 months ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
153
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ICANN
2007
Springer
15 years 5 months ago
2007
Springer
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
136
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TNN
2008
15 years 3 months ago
2008
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
112
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IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
— The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images. Artifi...
123
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IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...