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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.
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… 
Review
2009
Review
2009
Kickbacks or Compensation: The Case of Yield Spread Premiums
This article addresses whether yield spread premiums are harmful to consumers and, if so, how the practice might be regulated… 
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… 
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
1997
Highly Cited
1997
"On-the-fly" solution techniques for stochastic Petri nets and extensions
Use of a high-level modeling representation, such as stochastic Petri nets, frequently results in a very large state space. In… 
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… 
Highly Cited
1994
Highly Cited
1994
A recurrent neural network for solving the shortest path problem
The shortest path problem is the classical combinatorial optimization problem arising in numerous planning and designing contexts… 
Highly Cited
1977
Highly Cited
1977
Recurrent glomerulonephritis in allografted kidneys.
Highly Cited
1938
Highly Cited
1938
The pathology and treatment of recurrent instability of the shoulder-joint Br .
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