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An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks | IEEE Conference Publication | IEEE Xplore

An Accelerating Learning Algorithm for Block-Diagonal Recurrent Neural Networks


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 More

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
Conference Location: Vienna, Austria

References

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