Global dissipativity of continuous-time recurrent neural networks with time delay

Physical Review E ◽

10.1103/physreve.68.016118 ◽

2003 ◽

Vol 68 (1) ◽

Author(s):

Xiaoxin Liao ◽

Jun Wang

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Continuous Time

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Long-lead seasonal rainfall forecasting using time-delay recurrent neural networks: a case study

Hydrological Processes ◽

10.1002/hyp.6571 ◽

2007 ◽

Vol 22 (2) ◽

pp. 229-241 ◽

Author(s):

Mohammad Karamouz ◽

Saman Razavi ◽

Shahab Araghinejad

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Seasonal Rainfall ◽

Rainfall Forecasting

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Dynamics of continuous-time recurrent neural networks with random connection weights and unbounded distributed delays

The European Physical Journal Plus ◽

10.1140/epjp/s13360-021-01744-x ◽

2021 ◽

Vol 136 (8) ◽

Author(s):

Meiyu Sui ◽

Yejuan Wang ◽

Peter E. Kloeden ◽

Xiaoying Han

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Continuous Time ◽

Distributed Delays ◽

Unbounded Distributed Delays

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Noisy recurrent neural networks: the continuous-time case

IEEE Transactions on Neural Networks ◽

10.1109/72.712164 ◽

1998 ◽

Vol 9 (5) ◽

pp. 913-936 ◽

Author(s):

S. Das ◽

O. Olurotimi

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Continuous Time

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Stability Analysis of a General Class of Continuous-Time Recurrent Neural Networks

Advances in Neural Networks – ISNN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01507-6_40 ◽

2009 ◽

pp. 340-346

Author(s):

Chaojin Fu ◽

Zhongsheng Wang

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Recurrent Neural Networks ◽

Continuous Time ◽

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Synchronization of a Class of Coupled Discrete Recurrent Neural Networks with Time Delay

Advances in Neural Networks - ISNN 2006 - Lecture Notes in Computer Science ◽

10.1007/11759966_48 ◽

2006 ◽

pp. 309-315

Author(s):

Ping Li

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks

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A Continuous-time Learning Rule for Memristor–based Recurrent Neural Networks

2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS) ◽

10.1109/icecs46596.2019.8964918 ◽

2019 ◽

Author(s):

Gianluca Zoppo ◽

Francesco Marrone ◽

Fernando Corinto

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Continuous Time ◽

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Stability Analysis of Evolved Continuous Time Recurrent Neural Networks that Balance a Double Inverted Pendulum on a Cart

2007 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2007.4371383 ◽

2007 ◽

Author(s):

Federico Vicentini

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Recurrent Neural Networks ◽

Continuous Time ◽

Inverted Pendulum

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Biped locomotion control with evolved adaptive center-crossing continuous time recurrent neural networks

Neurocomputing ◽

10.1016/j.neucom.2012.01.009 ◽

2012 ◽

Vol 86 ◽

pp. 86-96 ◽

Author(s):

José Santos ◽

Ángel Campo

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Continuous Time ◽

Biped Locomotion ◽

Locomotion Control

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Fluctuation-driven learning rule for continuous-time recurrent neural networks and its application to dynamical system control

Systems and Computers in Japan ◽

10.1002/1520-684x(200103)32:3<14::aid-scj2>3.0.co;2-u ◽

2001 ◽

Vol 32 (3) ◽

pp. 14-23 ◽

Author(s):

Kazuhisa Watanabe ◽

Takahiro Haba ◽

Noboru Kudo ◽

Takahumi Oohori

Keyword(s):

Dynamical System ◽

Neural Networks ◽

Recurrent Neural Networks ◽

Continuous Time ◽

Learning Rule ◽

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Modeling of continuous time dynamical systems with input by recurrent neural networks

IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ◽

10.1109/81.841860 ◽

2000 ◽

Vol 47 (4) ◽

pp. 575-578 ◽

Author(s):

T.W.S. Chow ◽

Xiao-Dong Li

Keyword(s):

Neural Networks ◽

Dynamical Systems ◽

Recurrent Neural Networks ◽

Continuous Time

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