Abstract:
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in...Show MoreMetadata
Abstract:
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to be applied to dynamic systems. A comparative analysis with a series of algorithms and recurrent models is given, indicating the effectiveness of the proposed learning approach
Date of Conference: 28-30 November 2005
Date Added to IEEE Xplore: 22 May 2006
Print ISBN:0-7695-2504-0