AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 681 to 690 of 817 articles

A Projection Neural Network for Constrained Quadratic Minimax Optimization.

IEEE transactions on neural networks and learning systems May 7, 2015
This paper presents a projection neural network described by a dynamic system for solving constrained quadratic minimax programming problems. Sufficient conditions based on a linear matrix inequality are provided for global convergence of the propose...
Humans Neural Networks, Computer Algorithms Linear Models Computer Simulation Pattern Recognition, Automated
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Perception Evolution Network Based on Cognition Deepening Model--Adapting to the Emergence of New Sensory Receptor.

IEEE transactions on neural networks and learning systems Apr 28, 2015
The proposed perception evolution network (PEN) is a biologically inspired neural network model for unsupervised learning and online incremental learning. It is able to automatically learn suitable prototypes from learning data in an incremental way,...
Animals Cognition Models, Theoretical Neural Networks, Computer Learning Adaptation, Biological Perception Sensory Receptor Cells Humans
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Adaptive Neural Output Feedback Control of Output-Constrained Nonlinear Systems With Unknown Output Nonlinearity.

IEEE transactions on neural networks and learning systems Apr 24, 2015
This paper addresses the problem of adaptive neural output-feedback control for a class of special nonlinear systems with the hysteretic output mechanism and the unmeasured states. A modified Bouc-Wen model is first employed to capture the output hys...
Neural Networks, Computer Algorithms Feedback Research Design Nonlinear Dynamics Computer Simulation
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Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain.

IEEE transactions on neural networks and learning systems Apr 7, 2015
An usual task in large data set analysis is searching for an appropriate data representation in a space of fewer dimensions. One of the most efficient methods to solve this task is factor analysis. In this paper, we compare seven methods for Boolean ...
Neural Networks, Computer Algorithms Bayes Theorem Animals Models, Neurological Noise Sensitivity and Specificity Humans Factor Analysis, Statistical Electronic Data Processing
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DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.

IEEE transactions on neural networks and learning systems Mar 18, 2015
Recent research has shown the potential capability of spiking neural networks (SNNs) to model complex information processing in the brain. There is biological evidence to prove the use of the precise timing of spikes for information coding. However, ...
Action Potentials Humans Neurons Algorithms Learning Synapses Neural Networks, Computer Animals Nerve Net Models, Neurological
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Finite-Horizon Near-Optimal Output Feedback Neural Network Control of Quantized Nonlinear Discrete-Time Systems With Input Constraint.

IEEE transactions on neural networks and learning systems Mar 18, 2015
The output feedback-based near-optimal regulation of uncertain and quantized nonlinear discrete-time systems in affine form with control constraint over finite horizon is addressed in this paper. First, the effect of input constraint is handled using...
Nonlinear Dynamics Feedback Time Factors Neural Networks, Computer Computer Simulation
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Peaking-Free Output-Feedback Adaptive Neural Control Under a Nonseparation Principle.

IEEE transactions on neural networks and learning systems Mar 16, 2015
High-gain observers have been extensively applied to construct output-feedback adaptive neural control (ANC) for a class of feedback linearizable uncertain nonlinear systems under a nonlinear separation principle. Yet due to static-gain and linear pr...
Feedback Nonlinear Dynamics Neural Networks, Computer Humans Algorithms Computer Simulation
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Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification.

IEEE transactions on neural networks and learning systems Mar 12, 2015
In this paper, we propose a new approach to improve face verification and person re-identification in the RGB images by leveraging a set of RGB-D data, in which we have additional depth images in the training data captured using depth cameras such as...
Algorithms Learning Face Pattern Recognition, Automated Image Processing, Computer-Assisted Humans Biometric Identification Artificial Intelligence
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Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction.

IEEE transactions on neural networks and learning systems Mar 5, 2015
Collaboration enables weak species to survive in an environment where different species compete for limited resources. Cooperative coevolution (CC) is a nature-inspired optimization method that divides a problem into subcomponents and evolves them wh...
Time Factors Neural Networks, Computer Competitive Behavior Biological Evolution Algorithms Humans Animals Cooperative Behavior
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Adaptive Robust Output Feedback Control for a Marine Dynamic Positioning System Based on a High-Gain Observer.

IEEE transactions on neural networks and learning systems Mar 5, 2015
This paper develops an adaptive robust output feedback control scheme for dynamically positioned ships with unavailable velocities and unknown dynamic parameters in an unknown time-variant disturbance environment. The controller is designed by incorp...
Robotics Ships Environment Nonlinear Dynamics Feedback Geographic Information Systems Neural Networks, Computer Algorithms Humans
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