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Journal of the American Statistical Association, 2005
In this paper, we develop a model for estimating flight departure delay distributions required by air traffic congestion prediction models. We identify and study major factors influencing flight departure delays, and develop a strategic departure delay prediction model. This model employs nonparametric methods for daily and seasonal trends. In addition,
Tu, Yufeng +2 more
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In this paper, we develop a model for estimating flight departure delay distributions required by air traffic congestion prediction models. We identify and study major factors influencing flight departure delays, and develop a strategic departure delay prediction model. This model employs nonparametric methods for daily and seasonal trends. In addition,
Tu, Yufeng +2 more
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Neural Computing and Applications, 2012
In this paper, fuzzy BAM neural networks with distributed delays and time-varying delays in the leakage terms are studied. Sufficient conditions for the global exponential stability of equilibrium point are established by constructing suitable Lyapunov functional and differential inequality techniques, which complement and improve the main results of ...
Lihong Huang, Lihong Huang, Lian Duan
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In this paper, fuzzy BAM neural networks with distributed delays and time-varying delays in the leakage terms are studied. Sufficient conditions for the global exponential stability of equilibrium point are established by constructing suitable Lyapunov functional and differential inequality techniques, which complement and improve the main results of ...
Lihong Huang, Lihong Huang, Lian Duan
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International Journal of Systems, Control and Communications, 2010
A class of neural networks with reaction-diffusion terms and distributed delays is investigated. By constructing suitable Lyapunov functional, using M-matrix theory and some analysis techniques, some sufficient conditions have been given to ensure existence, uniqueness, and global exponential stability of equilibrium points of a class of neural ...
Deqian Xue, Qiankun Song, Zhenjiang Zhao
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A class of neural networks with reaction-diffusion terms and distributed delays is investigated. By constructing suitable Lyapunov functional, using M-matrix theory and some analysis techniques, some sufficient conditions have been given to ensure existence, uniqueness, and global exponential stability of equilibrium points of a class of neural ...
Deqian Xue, Qiankun Song, Zhenjiang Zhao
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2005 International Conference on Control and Automation, 2005
The existence of the equilibrium point and global exponential stability of finite distributed delays neural networks with reaction-diffusion terms is studied. The sufficient conditions were obtained by utilizing the theory of homotopy invariability, Dini's derivative, F-function and extended Hanaly's inequality, without assuming the boundedness ...
Deng Fei-qi, Luo Yi-ping, Tang Zhihong
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The existence of the equilibrium point and global exponential stability of finite distributed delays neural networks with reaction-diffusion terms is studied. The sufficient conditions were obtained by utilizing the theory of homotopy invariability, Dini's derivative, F-function and extended Hanaly's inequality, without assuming the boundedness ...
Deng Fei-qi, Luo Yi-ping, Tang Zhihong
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Periodic Solutions of BAM Neural Networks with Continuously Distributed Delays in the Leakage Terms
Neural Processing Letters, 2014This paper concerns with bidirectional associative memory neural network model with continuously distributed leakage delays. By applying Lyapunov functional method and differential inequality techniques, we establish some sufficient conditions for the existence and exponential stability of periodic solutions for the model, which complement with some ...
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Physics Letters A, 2005
Abstract Two sufficient conditions, which ensure the existence and uniqueness of the equilibrium point and global exponential stability of bi-directional associative memory (BAM) neural networks with distributed delays and reaction–diffusion terms, are obtained by using the theory of topological degree, properties of M-matrix, Lyapunov functional ...
Zhenjiang Zhao, Qiankun Song, Yongmin Li
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Abstract Two sufficient conditions, which ensure the existence and uniqueness of the equilibrium point and global exponential stability of bi-directional associative memory (BAM) neural networks with distributed delays and reaction–diffusion terms, are obtained by using the theory of topological degree, properties of M-matrix, Lyapunov functional ...
Zhenjiang Zhao, Qiankun Song, Yongmin Li
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Chaos, Solitons & Fractals, 2006
Abstract The global asymptotic stability of bi-directional associative memory neural networks with distributed delays and reaction–diffusion terms are studied by using the analysis technique and Lyapunov functional. A sufficient condition is proposed. Two numerical examples are given to show the correctness of our analysis.
Xu Yang Lou, Bao Tong Cui
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Abstract The global asymptotic stability of bi-directional associative memory neural networks with distributed delays and reaction–diffusion terms are studied by using the analysis technique and Lyapunov functional. A sufficient condition is proposed. Two numerical examples are given to show the correctness of our analysis.
Xu Yang Lou, Bao Tong Cui
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Chaos, Solitons & Fractals, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kelin Li, Zuoan Li
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kelin Li, Zuoan Li
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International Journal of Neural Systems, 2007
This paper presents new theoretical results on global exponential stability of bi-directional associative memory neural networks with distributed delays and reaction-diffusion terms based on the inequality technique, Lyapunov functional, and analysis technique.
Baotong Cui, Xuyang Lou
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This paper presents new theoretical results on global exponential stability of bi-directional associative memory neural networks with distributed delays and reaction-diffusion terms based on the inequality technique, Lyapunov functional, and analysis technique.
Baotong Cui, Xuyang Lou
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Communications in Nonlinear Science and Numerical Simulation, 2023
Fengyi Liu, Yongqing Yang, Qi Chang
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Fengyi Liu, Yongqing Yang, Qi Chang
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