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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

Published in:

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

Date of Conference:

2001