AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 701 to 710 of 817 articles

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 Neural Networks, Computer Time Factors Nonlinear Dynamics Algorithms Computer Simulation
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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...
Feedback Nonlinear Dynamics Algorithms Computer Simulation Neural Networks, Computer
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Recurrent Neural Network for Computing the Drazin Inverse.

IEEE transactions on neural networks and learning systems Feb 18, 2015
This paper presents a recurrent neural network (RNN) for computing the Drazin inverse of a real matrix in real time. This recurrent neural network (RNN) is composed of n independent parts (subnetworks), where n is the order of the input matrix. These...
Humans Mathematical Concepts Computer Simulation Nonlinear Dynamics Neural Networks, Computer Algorithms
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Adaptive Neural Network Dynamic Surface Control for a Class of Time-Delay Nonlinear Systems With Hysteresis Inputs and Dynamic Uncertainties.

IEEE transactions on neural networks and learning systems Feb 12, 2015
In this paper, an adaptive neural network (NN) dynamic surface control is proposed for a class of time-delay nonlinear systems with dynamic uncertainties and unknown hysteresis. The main advantages of the developed scheme are: 1) NNs are utilized to ...
Nonlinear Dynamics Mechanical Phenomena Uncertainty Feedback Time Factors Humans Algorithms Computer Simulation Neural Networks, Computer
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Universal Memcomputing Machines.

IEEE transactions on neural networks and learning systems Feb 3, 2015
We introduce the notion of universal memcomputing machines (UMMs): a class of brain-inspired general-purpose computing machines based on systems with memory, whereby processing and storing of information occur on the same physical location. We analyt...
Computer Simulation Computer Systems Memory Humans Neural Networks, Computer
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Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation.

IEEE transactions on neural networks and learning systems Jan 30, 2015
We present a framework for the identification of spatiotemporal linear dynamical systems. We use a state-space model representation that has the following attributes: 1) the number of spatial observation locations are decoupled from the model order; ...
Time Factors Models, Theoretical Pattern Recognition, Automated Nonlinear Dynamics Algorithms Humans Computer Simulation Neural Networks, Computer
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Solving nonlinear equality constrained multiobjective optimization problems using neural networks.

IEEE transactions on neural networks and learning systems Jan 30, 2015
This paper develops a neural network architecture and a new processing method for solving in real time, the nonlinear equality constrained multiobjective optimization problem (NECMOP), where several nonlinear objective functions must be optimized in ...
Computer Simulation Nonlinear Dynamics Humans Neural Networks, Computer Algorithms Pattern Recognition, Automated Problem Solving
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A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition.

IEEE transactions on neural networks and learning systems Jan 27, 2015
This paper presents a bioinspired digital liquid-state machine (LSM) for low-power very-large-scale-integration (VLSI)-based machine learning applications. To the best of the authors' knowledge, this is the first work that employs a bioinspired spike...
Motivation Humans Auditory Pathways Neural Networks, Computer Machine Learning Pattern Recognition, Physiological Action Potentials Neurons Speech Models, Neurological
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Scene recognition by manifold regularized deep learning architecture.

IEEE transactions on neural networks and learning systems Jan 22, 2015
Scene recognition is an important problem in the field of computer vision, because it helps to narrow the gap between the computer and the human beings on scene understanding. Semantic modeling is a popular technique used to fill the semantic gap in ...
Humans Neural Networks, Computer Pattern Recognition, Automated Algorithms Pattern Recognition, Visual Photic Stimulation Learning
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Automatic face naming by learning discriminative affinity matrices from weakly labeled images.

IEEE transactions on neural networks and learning systems Jan 21, 2015
Given a collection of images, where each image contains several faces and is associated with a few names in the corresponding caption, the goal of face naming is to infer the correct name for each face. In this paper, we propose two new methods to ef...
Pattern Recognition, Visual Names Pattern Recognition, Automated Biometric Identification Information Storage and Retrieval Face Humans Algorithms Artificial Intelligence Learning
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