AIMC Topic: Feedback

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Properties and Performance of Imperfect Dual Neural Network-Based kWTA Networks.

IEEE transactions on neural networks and learning systems Nov 3, 2014
The dual neural network (DNN)-based k -winner-take-all ( k WTA) model is an effective approach for finding the k largest inputs from n inputs. Its major assumption is that the threshold logic units (TLUs) can be implemented in a perfect way. However,...
Time Factors Probability Computer Simulation Feedback Humans Neural Networks, Computer Algorithms Decision Support Techniques
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Design and control of the MINDWALKER exoskeleton.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 30, 2014
Powered exoskeletons can empower paraplegics to stand and walk. Actively controlled hip ab/adduction (HAA) is needed for weight shift and for lateral foot placement to support dynamic balance control and to counteract disturbances in the frontal plan...
Adult Hip Joint Feedback Therapy, Computer-Assisted Male Humans Equipment Failure Analysis Exoskeleton Device Computer-Aided Design Equipment Design Man-Machine Systems Robotics Walking Gait Disorders, Neurologic
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Neural-Based Adaptive Output-Feedback Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems.

IEEE transactions on cybernetics Oct 28, 2014
In this paper, we consider the problem of observer-based adaptive neural output-feedback control for a class of stochastic nonlinear systems with nonstrict-feedback structure. To overcome the design difficulty from the nonstrict-feedback structure, a...
Neural Networks, Computer Stochastic Processes Computer Simulation Feedback Nonlinear Dynamics
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Adaptive Neural Stabilizing Controller for a Class of Mismatched Uncertain Nonlinear Systems by State and Output Feedback.

IEEE transactions on cybernetics Sep 26, 2014
In this paper, first, an adaptive neural network (NN) state-feedback controller for a class of nonlinear systems with mismatched uncertainties is proposed. By using a radial basis function NN (RBFNN), a bound of unknown nonlinear functions is approxi...
Neural Networks, Computer Computer Simulation Feedback Nonlinear Dynamics
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Adaptive Neural Control of Nonaffine Systems With Unknown Control Coefficient and Nonsmooth Actuator Nonlinearities.

IEEE transactions on neural networks and learning systems Sep 26, 2014
This brief considers the asymptotic tracking problem for a class of high-order nonaffine nonlinear dynamical systems with nonsmooth actuator nonlinearities. A novel transformation approach is proposed, which is able to systematically transfer the ori...
Environment Feedback Models, Statistical Nonlinear Dynamics Neural Networks, Computer Machine Learning
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Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori.

IEEE transactions on neural networks and learning systems Sep 25, 2014
This paper addresses the problem of globally stable direct adaptive backstepping neural network (NN) tracking control design for a class of uncertain strict-feedback systems under the assumption that the accuracy of the ultimate tracking error is giv...
Humans Neural Networks, Computer Feedback Algorithms Nonlinear Dynamics Computer Simulation Uncertainty
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Using Relevance Feedback to Distinguish the Changes in EEG During Different Absence Seizure Phases.

Clinical EEG and neuroscience Sep 21, 2014
We carried out a series of statistical experiments to explore the utility of using relevance feedback on electroencephalogram (EEG) data to distinguish between different activity states in human absence epilepsy. EEG recordings from 10 patients with ...
Male Disease Progression Diagnosis, Computer-Assisted Sensitivity and Specificity Humans Feedback Machine Learning Female Electroencephalography Algorithms Reproducibility of Results Pattern Recognition, Automated Adolescent Epilepsy, Absence Young Adult Child Diagnosis, Differential
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New synchronization criteria for memristor-based networks: adaptive control and feedback control schemes.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2014
In this paper, we investigate synchronization for memristor-based neural networks with time-varying delay via an adaptive and feedback controller. Under the framework of Filippov's solution and differential inclusion theory, and by using the adaptive...
Feedback Neural Networks, Computer Nonlinear Dynamics Algorithms
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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 Neural Networks, Computer Benchmarking Artificial Intelligence Algorithms Neurons Machine Learning Reproducibility of Results Databases, Factual Classification Feedback Power Plants Fuzzy Logic
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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...
Neural Networks, Computer Normal Distribution Feedback Uncertainty Algorithms Models, Statistical Computer Simulation Nonlinear Dynamics
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