AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 651 to 660 of 817 articles

Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network.

IEEE transactions on neural networks and learning systems Jan 13, 2016
A generalized predictive closed-loop control strategy to improve the basal ganglia activity patterns in Parkinson's disease (PD) is explored in this paper. Based on system identification, an input-output model is established to reveal the relationshi...
Models, Neurological Parkinson Disease Neural Networks, Computer Basal Ganglia Nerve Net Deep Brain Stimulation Humans
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Neural Network-Based DOBC for a Class of Nonlinear Systems With Unmatched Disturbances.

IEEE transactions on neural networks and learning systems Jan 8, 2016
In this brief, the problem of composite anti-disturbance tracking control for a class of strict-feedback systems with unmatched unknown nonlinear functions and external disturbances is investigated. A disturbance-observer-based control (DOBC) in comb...
Neural Networks, Computer Nonlinear Dynamics Machine Learning
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Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links.

IEEE transactions on neural networks and learning systems Jan 8, 2016
This paper is concerned with the problem of extended dissipativity-based state estimation for discrete-time Markov jump neural networks (NNs), where the variation of the piecewise time-varying transition probabilities of Markov chain is subject to a ...
Markov Chains Neural Networks, Computer Computer Simulation
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Directional Clustering Through Matrix Factorization.

IEEE transactions on neural networks and learning systems Jan 7, 2016
This paper deals with a clustering problem where feature vectors are clustered depending on the angle between feature vectors, that is, feature vectors are grouped together if they point roughly in the same direction. This directional distance measur...
Brain Neural Networks, Computer Cluster Analysis Algorithms Humans
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Identification and Control for Singularly Perturbed Systems Using Multitime-Scale Neural Networks.

IEEE transactions on neural networks and learning systems Jan 6, 2016
Many well-established singular perturbation theories for singularly perturbed systems require the full knowledge of system model parameters. In order to obtain an accurate and faithful model, a new identification scheme for singularly perturbed nonli...
Time Factors Nonlinear Dynamics Artificial Intelligence Neural Networks, Computer
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Stability Analysis of Neural Networks With Two Delay Components Based on Dynamic Delay Interval Method.

IEEE transactions on neural networks and learning systems Dec 10, 2015
In this paper, a dynamic delay interval (DDI) method is proposed to deal with the stability problem of neural networks with two delay components. This method extends the fixed interval of a time-varying delay to a dynamic one, which relaxes the restr...
Nonlinear Dynamics Neural Networks, Computer Time Factors Computer Simulation
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A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems.

IEEE transactions on neural networks and learning systems Dec 8, 2015
In this paper, a bi-projection neural network for solving a class of constrained quadratic optimization problems is proposed. It is proved that the proposed neural network is globally stable in the sense of Lyapunov, and the output trajectory of the ...
Pattern Recognition, Automated Problem Solving Humans Neural Networks, Computer
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Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network.

IEEE transactions on neural networks and learning systems Nov 18, 2015
This paper proposes a generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient descent learning rule to address the electroencephalography (EEG) regression problem in brain dynamics...
Reaction Time Fatigue Automobile Driving Fuzzy Logic Neural Networks, Computer Electroencephalography Male Forecasting Young Adult Female Humans Brain Adult
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Enhanced Logical Stochastic Resonance in Synthetic Genetic Networks.

IEEE transactions on neural networks and learning systems Nov 10, 2015
In this brief, the concept of logical stochastic resonance is applied to implement the Set-Reset latch in a synthetic gene network derived from a bacteriophage λ . Clear Set-Reset latch operation is obtained when the network is only subjected to peri...
Bacteriophage lambda Gene Regulatory Networks Neural Networks, Computer Stochastic Processes
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Multiple Ordinal Regression by Maximizing the Sum of Margins.

IEEE transactions on neural networks and learning systems Oct 27, 2015
Human preferences are usually measured using ordinal variables. A system whose goal is to estimate the preferences of humans and their underlying decision mechanisms requires to learn the ordering of any given sample set. We consider the solution of ...
Learning Neural Networks, Computer Decision Making Humans Algorithms Support Vector Machine
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