AIMC Topic: Uncertainty

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Overtaking method based on sand-sifter mechanism: Why do optimistic value functions find optimal solutions in multi-armed bandit problems?

Bio Systems Jul 10, 2015
A multi-armed bandit problem is a search problem on which a learning agent must select the optimal arm among multiple slot machines generating random rewards. UCB algorithm is one of the most popular methods to solve multi-armed bandit problems. It a...
Algorithms Optimism Decision Making Uncertainty Game Theory Models, Psychological Humans Machine Learning
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Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay.

Neural networks : the official journal of the International Neural Network Society Jun 15, 2015
This paper deals with the finite-time boundedness and stabilization problem for a class of switched neural networks with time-varying delay and parametric uncertainties. Based on Lyapunov-like function method and average dwell time technique, some su...
Algorithms Feedback Time Factors Neural Networks, Computer Nonlinear Dynamics Uncertainty
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An approach to fuzzy soft sets in decision making based on grey relational analysis and Dempster-Shafer theory of evidence: An application in medical diagnosis.

Artificial intelligence in medicine May 14, 2015
OBJECTIVE: The existing methods of fuzzy soft sets in decision making are mainly based on different kinds of level soft sets, and it is very difficult for decision makers to select a suitable level soft set in most instances. The goal of this paper i...
Feasibility Studies Evidence-Based Medicine Diagnosis, Differential Predictive Value of Tests Uncertainty Humans Decision Support Techniques Decision Support Systems, Clinical Fuzzy Logic Diagnosis, Computer-Assisted
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Mean square delay dependent-probability-distribution stability analysis of neutral type stochastic neural networks.

ISA transactions Apr 7, 2015
The aim of this manuscript is to investigate the mean square delay dependent-probability-distribution stability analysis of neutral type stochastic neural networks with time-delays. The time-delays are assumed to be interval time-varying and randomly...
Stochastic Processes Uncertainty Computer Simulation Linear Models Neural Networks, Computer Algorithms
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Robust stability of stochastic fuzzy delayed neural networks with impulsive time window.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2015
The urgent problem of impulsive moments which cannot be determined in advance brings new challenges beyond the conventional impulsive systems theory. In order to solve this problem, the novel concept of impulsive time window is proposed in this paper...
Algorithms Fuzzy Logic Neural Networks, Computer Stochastic Processes Models, Neurological Uncertainty Nonlinear Dynamics Systems Theory
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A new delay-independent condition for global robust stability of neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2015
This paper studies the problem of robust stability of dynamical neural networks with discrete time delays under the assumptions that the network parameters of the neural system are uncertain and norm-bounded, and the activation functions are slope-bo...
Neural Networks, Computer Time Factors Uncertainty
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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...
Reproducibility of Results Time Factors Motion Uncertainty Predictive Value of Tests Algorithms Humans Wind Neural Networks, Computer
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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 ...
Mechanical Phenomena Uncertainty Time Factors Nonlinear Dynamics Computer Simulation Feedback Humans Neural Networks, Computer Algorithms
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pth moment exponential stochastic synchronization of coupled memristor-based neural networks with mixed delays via delayed impulsive control.

Neural networks : the official journal of the International Neural Network Society Feb 4, 2015
This paper concerns the pth moment synchronization in an array of generally coupled memristor-based neural networks with time-varying discrete delays, unbounded distributed delays, as well as stochastic perturbations. Hybrid controllers are designed ...
Feedback Time Factors Stochastic Processes Neural Networks, Computer Uncertainty Algorithms
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Adaptive control of uncertain nonaffine nonlinear systems with input saturation using neural networks.

IEEE transactions on neural networks and learning systems Dec 19, 2014
This paper presents a tracking control methodology for a class of uncertain nonlinear systems subject to input saturation constraint and external disturbances. Unlike most previous approaches on saturated systems, which assumed affine nonlinear syste...
Neural Networks, Computer Nonlinear Dynamics Algorithms Adaptation, Physiological Learning Feedback Computer Simulation Uncertainty Humans
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