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Random neural network

Known as: RNN 
The random neural network (RNN) is a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals. It… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Intrusion detection plays an important role in ensuring information security, and the key technology is to accurately identify… Expand
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Highly Cited
2015
Highly Cited
2015
Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have… Expand
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Highly Cited
2014
Highly Cited
2014
In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks… Expand
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Highly Cited
2014
Highly Cited
2014
In this paper we compare different types of recurrent units in recurrent neural networks (RNNs). Especially, we focus on more… Expand
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Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… Expand
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Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… Expand
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Review
2010
Review
2010
The random neural network (RNN) is a recurrent neural network model inspired by the spiking behaviour of biological neuronal… Expand
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Review
2009
Review
2009
Echo State Networks and Liquid State Machines introduced a new paradigm in artificial recurrent neural network (RNN) training… Expand
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Highly Cited
1993
Highly Cited
1993
  • E. Gelenbe
  • Neural Computation
  • 1993
  • Corpus ID: 38667978
The capacity to learn from examples is one of the most desirable features of neural network models. We present a learning… Expand
Highly Cited
1989
Highly Cited
1989
  • E. Gelenbe
  • Neural Computation
  • 1989
  • Corpus ID: 207737442
We introduce a new class of random neural networks in which signals are either negative or positive. A positive signal arriving… Expand