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Recurrent neural network

Known as: Recurrent neural networks, RNN, Simple recurrent network 
A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle. This creates an… 
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Related topics

Related topics

50 relations
Activation functionApache SparkAutomatic differentiationBackpropagation

Broader (1)

Artificial intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Time-series modeling with undecimated fully convolutional neural networks
We present a new convolutional neural network-based time-series model. Typical convolutional neural network (CNN) architectures… 
Highly Cited
2012
Highly Cited
2012
Wide-area measurement based dynamic stochastic optimal power flow control for smart grids with high variability and uncertainty
Summary form only given. To achieve a high penetration level of intermittent renewable energy, the operation and control of power… 
Review
2012
Review
2012
Immunological Approaches to Contraception and Promotion of Fertility
Inaugural Remarks.- Inaugural Remarks.- Whence the Anti Hormones.- Immunological Approaches to Contraception: The Need, Basic… 
Highly Cited
2011
Highly Cited
2011
Recurrent routines: Analyzing and supporting orchestration in technology-enhanced primary classrooms
Highly Cited
2004
Highly Cited
2004
IMPROVED ELMAN NETWORKS AND APPLICATIONS FOR CONTROLLING ULTRASONIC MOTORS
Two improved Elman network models, output-input feedback (OIF) and output-hidden feedback (OHF), are proposed based on the… 
Highly Cited
2002
Highly Cited
2002
A neural network architecture for automatic segmentation of fluorescence micrographs
Highly Cited
2001
Highly Cited
2001
Financial Globalization, the Democratic Deficit and Recurrent Crises in Emerging Markets: The Turkish Experience in the Aftermath of Capital Account Liberalization
Financial globalization offers both risks and benefits for countries of the semiperiphery or "emerging markets." Politics within… 
Review
2000
Review
2000
Survey of random neural network applications
Highly Cited
1999
Highly Cited
1999
A recurrent and localized dinoflagellate bloom in a Mediterranean beach
A recurrent, prolonged and singular bloom of Alexandrium taylori Balech in an open beach (La Fosca, Spain, NW Mediterranean) is… 
Highly Cited
1996
Highly Cited
1996
Generalized maze navigation: SRN critics solve what feedforward or Hebbian nets cannot
  • P. WerbosX. Pang
  • IEEE International Conference on Systems, Man and…
  • 1996
  • Corpus ID: 60939529
Previous papers have explained why model-based adaptive critic designs-unlike other designs used in neurocontrol-have the… 
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