AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 691 to 700 of 817 articles

Multistability for Delayed Neural Networks via Sequential Contracting.

IEEE transactions on neural networks and learning systems Mar 3, 2015
In this paper, we explore a variety of new multistability scenarios in the general delayed neural network system. Geometric structure embedded in equations is exploited and incorporated into the analysis to elucidate the underlying dynamics. Criteria...
Time Factors Linear Models Humans Algorithms Computer Simulation Neural Networks, Computer
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Error bounds of adaptive dynamic programming algorithms for solving undiscounted optimal control problems.

IEEE transactions on neural networks and learning systems Mar 3, 2015
In this paper, we establish error bounds of adaptive dynamic programming algorithms for solving undiscounted infinite-horizon optimal control problems of discrete-time deterministic nonlinear systems. We consider approximation errors in the update eq...
Neural Networks, Computer Artificial Intelligence Time Factors Nonlinear Dynamics Algorithms Problem Solving Computer Simulation
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H∞ State Estimation for Discrete-Time Delayed Systems of the Neural Network Type With Multiple Missing Measurements.

IEEE transactions on neural networks and learning systems Feb 27, 2015
This paper investigates the H∞ state estimation problem for a class of discrete-time nonlinear systems of the neural network type with random time-varying delays and multiple missing measurements. These nonlinear systems include recurrent neural netw...
Stochastic Processes Models, Theoretical Nonlinear Dynamics Computer Simulation Time Factors Humans Neural Networks, Computer
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RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG.

IEEE transactions on neural networks and learning systems Feb 26, 2015
Learning optimal spatio-temporal filters is a key to feature extraction for single-trial electroencephalogram (EEG) classification. The challenges are controlling the complexity of the learning algorithm so as to alleviate the curse of dimensionality...
Discriminant Analysis Electroencephalography Algorithms Humans Brain-Computer Interfaces Signal Processing, Computer-Assisted Brain Neural Networks, Computer
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Bidirectional Active Learning: A Two-Way Exploration Into Unlabeled and Labeled Data Set.

IEEE transactions on neural networks and learning systems Feb 26, 2015
In practical machine learning applications, human instruction is indispensable for model construction. To utilize the precious labeling effort effectively, active learning queries the user with selective sampling in an interactive way. Traditional ac...
Models, Theoretical Neural Networks, Computer Humans Generalization, Psychological Problem-Based Learning Algorithms Information Storage and Retrieval Handwriting
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An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction.

IEEE transactions on neural networks and learning systems Feb 26, 2015
We consider the task of performing prediction with neural networks (NNs) on the basis of uncertain input data expressed in the form of intervals. We aim at quantifying the uncertainty in the prediction arising from both the input data and the predict...
Motion Humans Uncertainty Time Factors Neural Networks, Computer Predictive Value of Tests Wind Algorithms Reproducibility of Results
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Multiple actor-critic structures for continuous-time optimal control using input-output data.

IEEE transactions on neural networks and learning systems Feb 26, 2015
In industrial process control, there may be multiple performance objectives, depending on salient features of the input-output data. Aiming at this situation, this paper proposes multiple actor-critic structures to obtain the optimal control via inpu...
Humans Algorithms Computer Simulation Neural Networks, Computer Signal Processing, Computer-Assisted Nonlinear Dynamics Time Factors Cognition
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A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis.

IEEE transactions on neural networks and learning systems Feb 19, 2015
This paper proposes a probabilistic neural network (NN) developed on the basis of time-series discriminant component analysis (TSDCA) that can be used to classify high-dimensional time-series patterns. TSDCA involves the compression of high-dimension...
Algorithms Time Factors Humans Neural Networks, Computer Probability Pattern Recognition, Automated Models, Statistical Discriminant Analysis
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On Extended Dissipativity of Discrete-Time Neural Networks With Time Delay.

IEEE transactions on neural networks and learning systems Feb 19, 2015
In this brief, the problem of extended dissipativity analysis for discrete-time neural networks with time-varying delay is investigated. The definition of extended dissipativity of discrete-time neural networks is proposed, which unifies several perf...
Humans Nonlinear Dynamics Computer Simulation Time Factors Neural Networks, Computer Algorithms
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A direct self-constructing neural controller design for a class of nonlinear systems.

IEEE transactions on neural networks and learning systems Feb 19, 2015
This paper is concerned with the problem of adaptive neural control for a class of uncertain or ill-defined nonaffine nonlinear systems. Using a self-organizing radial basis function neural network (RBFNN), a direct self-constructing neural controlle...
Neural Networks, Computer Algorithms Feedback Nonlinear Dynamics Computer Simulation
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