Results 261 to 270 of about 848,892 (315)
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Communications in Nonlinear Science and Numerical Simulation, 2023
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Liu, Fengyi, Yang, Yongqing, Chang, Qi
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Liu, Fengyi, Yang, Yongqing, Chang, Qi
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The long-term distribution of differential group delay in a recirculating loop
Technical Digest: Symposium on Optical Fiber Measurements, 2004., 2004It is well known that the distribution of differential group delay (DGD) in a straight-line optical fiber transmission system is a Maxwellian when the fiber realization drifts ergodically and the fiber is statistically homogeneous [I].
null Hai Xu +5 more
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Exponential convergence for HRNNs with continuously distributed delays in the leakage terms
Neural Computing and Applications, 2012This paper considers exponential convergence for a class of high-order recurrent neural networks (HRNNs) with continuously distributed delays in the leakage terms (i.e., “leakage delays”). Without assuming the boundedness on the activation functions, some sufficient conditions are derived to ensure that all solutions of this system converge ...
Zhibin Chen, Mingquan Yang
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Nonlinear Analysis: Real World Applications, 2007
A system of two nonlinear reaction-diffusion equations, including distributed time delays and time-periodic forcing, is studied. The system is motivated as a model for an associative memory neural network. It is proved that, under appropriate conditions, the system has a unique periodic solution (with the same period as that of the forcing), which is ...
Song, Qiankun, Cao, Jinde
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A system of two nonlinear reaction-diffusion equations, including distributed time delays and time-periodic forcing, is studied. The system is motivated as a model for an associative memory neural network. It is proved that, under appropriate conditions, the system has a unique periodic solution (with the same period as that of the forcing), which is ...
Song, Qiankun, Cao, Jinde
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A new delay distribution model to take long-term degradation into account
2013 IEEE 4th Latin American Symposium on Circuits and Systems (LASCAS), 2013The long-term degradation due to aging such as NBTI (Negative Bias Temperature Instability) is a hot issue in the current circuit design using nanometer process technologies, since it causes a delay fault in the field. In order to resolve the problem, we must estimate delay variation caused by long-term degradation in design stage, but over estimation ...
S. Tsukiyama, M. Fukui, T. Kambe
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Neural Processing Letters, 2015
In this paper, a reaction-diffusion neural network with time delay in leakage terms and distributed synaptic transmission delays under homogeneous Neumann boundary conditions is investigated. By analyzing the corresponding characteristic equation, the local stability of the trivial uniform steady state and the existence of Hopf bifurcation are ...
Xiaohong Tian, Rui Xu
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In this paper, a reaction-diffusion neural network with time delay in leakage terms and distributed synaptic transmission delays under homogeneous Neumann boundary conditions is investigated. By analyzing the corresponding characteristic equation, the local stability of the trivial uniform steady state and the existence of Hopf bifurcation are ...
Xiaohong Tian, Rui Xu
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Physics Letters A, 2005
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Song, Qiankun +2 more
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Song, Qiankun +2 more
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Nonlinear Analysis: Real World Applications, 2022
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Chaos, Solitons & Fractals, 2006
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Cui, Bao Tong, Lou, Xu Yang
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Cui, Bao Tong, Lou, Xu Yang
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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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