AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 671 to 680 of 817 articles

Asymptotic Stability of a Class of Neutral Delay Neuron System in a Critical Case.

IEEE transactions on neural networks and learning systems Aug 28, 2015
In this brief, the asymptotic stability properties of a neutral delay neuron system are studied mainly in a critical case when the exponential stability is not possible. If a critical value of the coefficient in the neutral delay neuron system is con...
Computer Simulation Time Factors Neural Networks, Computer Algorithms Nonlinear Dynamics Models, Neurological Neurons Humans
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Finite-Time Stabilizability and Instabilizability of Delayed Memristive Neural Networks With Nonlinear Discontinuous Controller.

IEEE transactions on neural networks and learning systems Aug 11, 2015
This paper is concerned about the finite-time stabilizability and instabilizability for a class of delayed memristive neural networks (DMNNs). Through the design of a new nonlinear controller, algebraic criteria based on M -matrix are established for...
Humans Neural Networks, Computer Time Factors Algorithms Nonlinear Dynamics Computer Simulation
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Multistability and Instability of Neural Networks With Discontinuous Nonmonotonic Piecewise Linear Activation Functions.

IEEE transactions on neural networks and learning systems Aug 10, 2015
In this paper, we discuss the coexistence and dynamical behaviors of multiple equilibrium points for recurrent neural networks with a class of discontinuous nonmonotonic piecewise linear activation functions. It is proved that under some conditions, ...
Humans Linear Models Computer Simulation Neural Networks, Computer Algorithms Time Factors
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Global neural dynamic surface tracking control of strict-feedback systems with application to hypersonic flight vehicle.

IEEE transactions on neural networks and learning systems Aug 7, 2015
This paper studies both indirect and direct global neural control of strict-feedback systems in the presence of unknown dynamics, using the dynamic surface control (DSC) technique in a novel manner. A new switching mechanism is designed to combine an...
Neural Networks, Computer Feedback Humans Neurons Nonlinear Dynamics Stochastic Processes Support Vector Machine Models, Neurological
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A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables.

IEEE transactions on neural networks and learning systems Jul 8, 2015
In this paper, we present a complex-valued projection neural network for solving constrained convex optimization problems of real functions with complex variables, as an extension of real-valued projection neural networks. Theoretically, by developin...
Neural Networks, Computer Algorithms Nonlinear Dynamics Humans Computer Simulation
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A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps.

IEEE transactions on neural networks and learning systems Jun 9, 2015
Self-organizing map (SOM)-based motif mining, despite being a promising approach for problem solving, mostly fails to offer a consistent interpretation of clusters with respect to the mixed composition of signal and noise in the nodes. The main reaso...
Cluster Analysis Databases, Genetic Neural Networks, Computer Nucleotide Motifs Animals Algorithms Fuzzy Logic Humans Computational Biology
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Synchronization of Memristor-Based Coupling Recurrent Neural Networks With Time-Varying Delays and Impulses.

IEEE transactions on neural networks and learning systems Jun 3, 2015
Synchronization of an array of linearly coupled memristor-based recurrent neural networks with impulses and time-varying delays is investigated in this brief. Based on the Lyapunov function method, an extended Halanay differential inequality and a ne...
Nonlinear Dynamics Feedback Time Factors Algorithms Neural Networks, Computer Computer Simulation
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Undamped Oscillations Generated by Hopf Bifurcations in Fractional-Order Recurrent Neural Networks With Caputo Derivative.

IEEE transactions on neural networks and learning systems May 14, 2015
In this paper, a fractional-order recurrent neural network is proposed and several topics related to the dynamics of such a network are investigated, such as the stability, Hopf bifurcations, and undamped oscillations. The stability domain of the tri...
Feedback Algorithms Humans Time Factors Computer Simulation Nonlinear Dynamics Neural Networks, Computer Biological Clocks
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An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities.

IEEE transactions on neural networks and learning systems May 13, 2015
Modeling and implementation approaches for the reproduction of input-output relationships in biological nervous tissues contribute to the development of engineering and clinical applications. However, because of high nonlinearity, the traditional mod...
Nerve Net Computer Simulation Animals Humans Synapses Models, Neurological Neurons Neural Networks, Computer Hippocampus Action Potentials
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Synchronization of Neural Networks With Control Packet Loss and Time-Varying Delay via Stochastic Sampled-Data Controller.

IEEE transactions on neural networks and learning systems May 8, 2015
This paper addresses the problem of exponential synchronization of neural networks with time-varying delays. A sampled-data controller with stochastically varying sampling intervals is considered. The novelty of this paper lies in the fact that the c...
Time Factors Stochastic Processes Neural Networks, Computer Humans Computer Simulation
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