Metastability in a Stochastic Neural Network Modeled as a Velocity Jump Markov Process

SIAM Journal on Applied Dynamical Systems ◽

10.1137/120898978 ◽

2013 ◽

Vol 12 (3) ◽

pp. 1394-1435 ◽

Author(s):

Paul C. Bressloff ◽

Jay M. Newby

Keyword(s):

Neural Network ◽

Markov Process ◽

Stochastic Neural Network ◽

Jump Markov Process ◽

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Stabilisation of SDEs and applications to synchronisation of stochastic neural network driven by G-Brownian motion with state-feedback control

International Journal of Systems Science ◽

10.1080/00207721.2018.1551973 ◽

2018 ◽

Vol 50 (2) ◽

pp. 273-282 ◽

Author(s):

Yong Ren ◽

Wensheng Yin ◽

Dongjin Zhu

Keyword(s):

Neural Network ◽

Brownian Motion ◽

Feedback Control ◽

State Feedback ◽

State Feedback Control ◽

Stochastic Neural Network

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A study of the difference between partial derivative and stochastic neural network sensitivity analysis for applications in supervised pattern classification problems

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826) ◽

10.1109/icmlc.2004.1384590 ◽

2005 ◽

Author(s):

W.W.Y. Ng ◽

D.S. Yeung ◽

Xi-Zhao Wang ◽

I. Cloete

Keyword(s):

Neural Network ◽

Sensitivity Analysis ◽

Pattern Classification ◽

Partial Derivative ◽

Classification Problems ◽

Stochastic Neural Network ◽

Network Sensitivity ◽

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A stochastic neural network for resource constrained scheduling

Computers & Operations Research ◽

10.1016/0305-0548(92)90046-8 ◽

1992 ◽

Vol 19 (3-4) ◽

pp. 241-254 ◽

Author(s):

Shivakumar Vaithyanathan ◽

James P. Ignizio

Keyword(s):

Neural Network ◽

Resource Constrained ◽

Stochastic Neural Network

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Research on fuzzy modeling forecasting method based on stochastic neural network

Systems Analysis Modelling Simulation ◽

10.1080/0232929032000115074 ◽

2003 ◽

Vol 43 (12) ◽

pp. 1709-1715 ◽

Author(s):

Li Bo* ◽

Zhang Shiying ◽

Wang Xiufeng

Keyword(s):

Neural Network ◽

Fuzzy Modeling ◽

Stochastic Neural Network ◽

Forecasting Method

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Segmenting Moving Objects with a Recurrent Stochastic Neural Network

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-540-30499-9_102 ◽

2004 ◽

pp. 666-672

Author(s):

Jieyu Zhao

Keyword(s):

Neural Network ◽

Moving Objects ◽

Stochastic Neural Network

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New results on state estimation and stability analysis based H∞ control for multi-delay hybrid stochastic neural network

International Journal of Systems Science ◽

10.1080/00207721.2019.1704915 ◽

2019 ◽

Vol 51 (2) ◽

pp. 334-347

Author(s):

Hongqian Lu ◽

Yue Hu ◽

Chaoqun Guo ◽

Wuneng Zhou

Keyword(s):

Neural Network ◽

Stability Analysis ◽

State Estimation ◽

Stochastic Neural Network

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Fixed-time synchronization of time-varying delayed stochastic neural network and its application to secure communication

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865397 ◽

2019 ◽

Author(s):

Chengrong Xie ◽

Yuning Wu ◽

Shunqiang Yun ◽

Guoqiao You ◽

Yuhua Xu

Keyword(s):

Neural Network ◽

Secure Communication ◽

Time Synchronization ◽

Time Varying ◽

Stochastic Neural Network

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The Methods: Jump Markov Process and Random Partitions

Reconstructing Macroeconomics ◽

10.1017/cbo9780511510670.004 ◽

2009 ◽

pp. 28-57 ◽

Author(s):

Masanao Aoki ◽

Hiroshi Yoshikawa

Keyword(s):

Markov Process ◽

Random Partitions ◽

Jump Markov Process

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Implementation of an efficient magnetic tunnel junction-based stochastic neural network with application to iris data classification

Nanotechnology ◽

10.1088/1361-6528/abadc4 ◽

2020 ◽

Vol 31 (50) ◽

pp. 504001 ◽

Author(s):

Arshid Nisar ◽

Farooq A Khanday ◽

Brajesh Kumar Kaushik

Keyword(s):

Neural Network ◽

Tunnel Junction ◽

Magnetic Tunnel Junction ◽

Data Classification ◽

Stochastic Neural Network ◽

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Robust stability for uncertain stochastic neural network with delay and impulses

Neurocomputing ◽

10.1016/j.neucom.2012.04.013 ◽

2012 ◽

Vol 94 ◽

pp. 102-110 ◽

Author(s):

Lijun Pan ◽

Jinde Cao

Keyword(s):

Neural Network ◽

Robust Stability ◽

Stochastic Neural Network

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