Cardot, Hubert <br/><br/>
Recurrent Neural Networks for Temporal Data Processing 

 -  IntechOpen  2011 
 - 1 electronic resource (114 p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>English 
<br/><br/><label>ISBN: </label>631 9789533076850 9789535155218 
<br/><br/><label>Standard No.: </label>10.5772/631  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence
<br/><br/><label>Subjects--Index Terms: </label>Neural networks & fuzzy systems