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Stochastic neural network

Stochastic neural networks are a type of artificial neural networks built by introducing random variations into the network, either by giving the… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
One of the defining properties of deep learning is that models are chosen to have many more parameters than available training… Expand
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Highly Cited
2017
Highly Cited
2017
Deep reinforcement learning has achieved many impressive results in recent years. However, tasks with sparse rewards or long… Expand
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Highly Cited
2016
Highly Cited
2016
Deep neural networks are powerful parametric models that can be trained efficiently using the backpropagation algorithm… Expand
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Highly Cited
2016
Highly Cited
2016
  • Yuanyuan Li
  • Neural Processing Letters
  • 2016
  • Corpus ID: 19985552
In the paper, synchronization problem for stochastic neural networks are studied by impulsively controlling partial states. At… Expand
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Highly Cited
2010
Highly Cited
2010
The passivity problem of stochastic neural networks (SNNs) with interval time-varying delay and norm-bounded parameter… Expand
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Highly Cited
2010
Highly Cited
2010
In this paper, the global asymptotic stability is investigated for stochastic neural networks of neutral type with both Markovian… Expand
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Highly Cited
2010
Highly Cited
2010
In this paper, the robust H"~ state estimation problem is investigated for a general class of uncertain discrete-time stochastic… Expand
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Highly Cited
2009
Highly Cited
2009
In this paper, the problem of passivity analysis is investigated for a class of discrete-time stochastic neural networks with… Expand
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Highly Cited
2007
Highly Cited
2007
In this paper, synchronization control of stochastic neural networks with time-varying delays has been considered. A novel… Expand
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Highly Cited
2001
Highly Cited
2001
Abstract The authors in their papers (Liao and Mao, Stochast. Anal. Appl. 14 (2) (1996a) 165–185; Neural, Parallel Sci. Comput. 4… Expand
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