70 search results - page 3 / 14 » Comparing Performance of Neural Networks Applied to a Simpli... |
157
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— A solution for the slow convergence of most learning rules for Recurrent Neural Networks (RNN) has been proposed under the terms Liquid State Machines (LSM) and Echo State Netw...
124
Voted
ICONIP
2007
15 years 5 months ago
2007
Abstract. The paper describes the integration of brain-inspired systems to perform audiovisual pattern recognition tasks. Individual sensory pathways as well as the integrative mod...
131
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ICDAR
2009
IEEE
15 years 10 months ago
2009
IEEE
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
133
Voted
BIOADIT
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
145
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ENGL
2007
15 years 3 months ago
2007
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...