Recurrent Neural Networks for Temporal Data Processing

Hubert Cardot

ISBN 10: 9533076852 / ISBN 13: 9789533076850

Published by Intechopen Feb 2011, 2011

About this Item

Neuware -The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 114 pp. Englisch.

Seller Inventory # 9789533076850

Bibliographic Details

• Title: Recurrent Neural Networks for Temporal Data Processing
• Publisher: Intechopen Feb 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 9533076852
• ISBN 13: 9789533076850
• Binding: Buch
• Condition: Neu

About this title

Synopsis

The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.