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NN
2006
Springer
100views Neural Networks» more  NN 2006»
14 years 11 months ago
Adaptive filtering with the self-organizing map: A performance comparison
Guilherme De A. Barreto, Luís Gustavo M. So...
TNN
1998
92views more  TNN 1998»
14 years 11 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
NN
1998
Springer
108views Neural Networks» more  NN 1998»
14 years 11 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
NCA
1998
IEEE
14 years 11 months ago
A Neural Network Model of a Communication Network with Information Servers
This paper models information flow in a communication network. The network consists of nodes that communicate with each other, and information servers that have a predominantly o...
Philippe De Wilde