A hybrid model approach to generalization in sequence learning

• Published in: IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222) Vol. 4; pp. 2393 - 2398 vol.4
• Main Authors: Spiegel, R., McLaren, I.P.L.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2001
• Subjects: Artificial intelligence; Backpropagation algorithms; Context modeling; Humans; Intelligent networks; Neural networks; Predictive models; Psychology; Recurrent neural networks; Testing

Both recurrent neural networks and humans are able to learn sequential information and generalize to sequences they have not experienced in training. However, they sometimes seem to differ in the way they perform generalization. A new hybrid model is introduced that relies on both a recurrent neural...