A generalized LSTM-like training algorithm for second-order recurrent neural networks

DOI10.1016/j.neunet.2011.07.003zbMath1259.68172OpenAlexW2099052794WikidataQ39138949 ScholiaQ39138949MaRDI QIDQ1943040

Derek Monner, James A. Reggia

Publication date: 15 March 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3217173

zbMATH Keywords

recurrent neural networktemporal sequence processinggradient-based traininglong short term memory (LSTM)sequential retrieval

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Uses Software

• Evolino

Cites Work

• Training Recurrent Networks by Evolino
• Learning representations by back-propagating errors

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