• English
    • Deutsch
  • English 
    • English
    • Deutsch
  • Login
View Item 
  •   Home
  • Universität Ulm
  • Publikationsnachweise
  • View Item
  •   Home
  • Universität Ulm
  • Publikationsnachweise
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Learning long-term dependencies in segmented-memory recurrent neural networks with backpropagation of error

Erstveröffentlichung
2014
Authors
Gluege, Stefan
Boeck, Ronald
Palm, Guenther
Wendemuth, Andreas
Wissenschaftlicher Artikel


Published in
Neurocomputing ; 141 (2014), SI. - S. 54-64. - ISSN 0925-2312. - eISSN 1872-8286
Link to publication
https://dx.doi.org/10.1016/j.neucom.2013.11.043
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutions
Institut für Neuroinformatik
Subject headings
[Free subject headings]: Recurrent neural networks | Segmented-memory recurrent neural network | Vanishing gradient problem | Long-term dependencies | Unsupervised pre-training | ARCHITECTURES | REHEARSAL | ALGORITHM
[DDC subject group]: DDC 000 / Computer science, information & general works

Metadata
Show full item record

Policy | kiz service OPARU | Contact Us
Impressum | Privacy statement
 

 

Advanced Search

Browse

All of OPARUCommunities & CollectionsPersonsInstitutionsPublication typesUlm SerialsDewey Decimal ClassesEU projects UlmDFG projects UlmOther projects Ulm

My Account

LoginRegister

Statistics

View Usage Statistics

Policy | kiz service OPARU | Contact Us
Impressum | Privacy statement