AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 751 to 760 of 817 articles

On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation.

IEEE transactions on neural networks and learning systems Aug 13, 2014
This paper presents a fuzzy extreme learning machine (F-ELM) that embeds fuzzy membership functions and rules into the hidden layer of extreme learning machine (ELM). Similar to the concept of ELM that employed the random initialization technique, th...
Models, Statistical Benchmarking Feedback Fuzzy Logic Power Plants Neurons Classification Artificial Intelligence Machine Learning Databases, Factual Reproducibility of Results Algorithms Neural Networks, Computer
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Adaptive NN Control of a Class of Nonlinear Systems With Asymmetric Saturation Actuators.

IEEE transactions on neural networks and learning systems Aug 11, 2014
In this note, adaptive neural network (NN) control is investigated for a class of uncertain nonlinear systems with asymmetric saturation actuators and external disturbances. To handle the effect of nonsmooth asymmetric saturation nonlinearity, a Gaus...
Normal Distribution Models, Statistical Nonlinear Dynamics Algorithms Neural Networks, Computer Reproducibility of Results
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A Neurodynamic Optimization Method for Recovery of Compressive Sensed Signals With Globally Converged Solution Approximating to l0 Minimization.

IEEE transactions on neural networks and learning systems Aug 7, 2014
Finding the optimal solution to the constrained l0 -norm minimization problems in the recovery of compressive sensed signals is an NP-hard problem and it usually requires intractable combinatorial searching operations for getting the global optimal s...
Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Image Processing, Computer-Assisted Models, Statistical Normal Distribution Data Compression
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Discrete-Time Zhang Neural Network for Online Time-Varying Nonlinear Optimization With Application to Manipulator Motion Generation.

IEEE transactions on neural networks and learning systems Aug 6, 2014
In this brief, a discrete-time Zhang neural network (DTZNN) model is first proposed, developed, and investigated for online time-varying nonlinear optimization (OTVNO). Then, Newton iteration is shown to be derived from the proposed DTZNN model. In a...
Neural Networks, Computer Algorithms Nonlinear Dynamics Online Systems Models, Statistical Robotics
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Adaptive Output-Feedback Neural Control of Switched Uncertain Nonlinear Systems With Average Dwell Time.

IEEE transactions on neural networks and learning systems Aug 6, 2014
This paper investigates the problem of adaptive neural tracking control via output-feedback for a class of switched uncertain nonlinear systems without the measurements of the system states. The unknown control signals are approximated directly by ne...
Uncertainty Nonlinear Dynamics Normal Distribution Feedback Neural Networks, Computer Computer Simulation Models, Statistical Algorithms
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Further result on guaranteed H∞ performance state estimation of delayed static neural networks.

IEEE transactions on neural networks and learning systems Jul 23, 2014
This brief considers the guaranteed H∞ performance state estimation problem of delayed static neural networks. An Arcak-type state estimator, which is more general than the widely adopted Luenberger-type one, is chosen to tackle this issue. A delay-d...
Time Factors Regression Analysis Neural Networks, Computer Algorithms Computer Simulation
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Is extreme learning machine feasible? A theoretical assessment (part II).

IEEE transactions on neural networks and learning systems Jul 23, 2014
An extreme learning machine (ELM) can be regarded as a two-stage feed-forward neural network (FNN) learning system that randomly assigns the connections with and within hidden neurons in the first stage and tunes the connections with output neurons i...
Computer Simulation Artificial Intelligence Humans Learning Neurons Models, Neurological Algorithms Neural Networks, Computer Probability
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Learning from adaptive neural dynamic surface control of strict-feedback systems.

IEEE transactions on neural networks and learning systems Jul 22, 2014
Learning plays an essential role in autonomous control systems. However, how to achieve learning in the nonstationary environment for nonlinear systems is a challenging problem. In this paper, we present learning method for a class of n th-order stri...
Artificial Intelligence Algorithms Humans Neural Networks, Computer Feedback Nonlinear Dynamics Computer Simulation Learning
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Memristor-based cellular nonlinear/neural network: design, analysis, and applications.

IEEE transactions on neural networks and learning systems Jul 21, 2014
Cellular nonlinear/neural network (CNN) has been recognized as a powerful massively parallel architecture capable of solving complex engineering problems by performing trillions of analog operations per second. The memristor was theoretically predict...
Computer Storage Devices Nonlinear Dynamics Synapses Neural Networks, Computer Signal Processing, Computer-Assisted Nanotechnology
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Output-feedback adaptive neural control for stochastic nonlinear time-varying delay systems with unknown control directions.

IEEE transactions on neural networks and learning systems Jul 21, 2014
This paper presents an adaptive output-feedback neural network (NN) control scheme for a class of stochastic nonlinear time-varying delay systems with unknown control directions. To make the controller design feasible, the unknown control coefficient...
Neural Networks, Computer Computer Simulation Feedback Algorithms Nonlinear Dynamics Stochastic Processes
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