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A neural module to estimate context information for sequence learning

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2 Author(s)
Henriques, A.S. ; Dept. of Electr. Eng., Sao Paulo Univ., Brazil ; Araujo, A.F.R.

Presents an approach for building a modular neural system for sequence reproduction. The proposed modular neural system deals separately with two types of context information: the spatial context and the temporal context. The former is useful for a sequence identification, and is processed by a feedforward neural network. The latter is needed for learning and reproducing patterns with temporal dependencies, and is processed by a partially recurrent neural network. The achieved results show significant improvements in the generalization ability of the complete proposed modular neural system when compared to the recurrent neural network working alone

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Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on  (Volume:3 )

Date of Conference: