AIMC Topic:
Models, Theoretical

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Two-Stage Orthogonal Least Squares Methods for Neural Network Construction.

IEEE transactions on neural networks and learning systems Sep 11, 2014
A number of neural networks can be formulated as the linear-in-the-parameters models. Training such networks can be transformed to a model selection problem where a compact model is selected from all the candidates using subset selection algorithms. ...
Artificial Intelligence Algorithms Models, Theoretical Neural Networks, Computer Least-Squares Analysis
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Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method.

IEEE transactions on neural networks and learning systems Sep 10, 2014
This brief proposes an efficient technique for the construction of optimized prediction intervals (PIs) by using the bootstrap technique. The method employs an innovative PI-based cost function in the training of neural networks (NNs) used for estima...
Confidence Intervals Algorithms Neural Networks, Computer Models, Theoretical
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A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning.

IEEE transactions on neural networks and learning systems Sep 9, 2014
Single-layer feedforward networks (SLFNs) have been proven to be a universal approximator when all the parameters are allowed to be adjustable. It is widely used in classification and regression problems. The SLFN learning involves two tasks: determi...
Least-Squares Analysis Neurons Neural Networks, Computer Algorithms Machine Learning Models, Theoretical
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A dynamic human motion: coordination analysis.

Biological cybernetics Aug 27, 2014
This article is concerned with the generic structure of the motion coordination system resulting from the application of the method of virtual holonomic constraints (VHCs) to the problem of the generation and robust execution of a dynamic humanlike m...
Robotics User-Computer Interface Motion Nonlinear Dynamics Movement Humans Models, Theoretical Computer Simulation
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End-point impedance measurements across dominant and nondominant hands and robotic assistance with directional damping.

IEEE transactions on cybernetics Aug 19, 2014
The goal of this paper is to perform end-point impedance measurements across dominant and nondominant hands while doing airbrush painting and to use the results for developing a robotic assistance scheme. We study airbrush painting because it resembl...
Task Performance and Analysis Man-Machine Systems Models, Theoretical Robotics Electric Impedance Paint Humans Adult Algorithms Hand Male Female Young Adult
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Toward a new task assignment and path evolution (TAPE) for missile defense system (MDS) using intelligent adaptive SOM with recurrent neural networks (RNNs).

IEEE transactions on cybernetics Aug 19, 2014
In this paper, a new adaptive self-organizing map (SOM) with recurrent neural network (RNN) controller is proposed for task assignment and path evolution of missile defense system (MDS). We address the problem of N agents (defending missiles) and D t...
Neural Networks, Computer Algorithms Models, Theoretical Weapons
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On fuzzy sampled-data control of chaotic systems via a time-dependent Lyapunov functional approach.

IEEE transactions on cybernetics Aug 5, 2014
In this paper, a novel approach to fuzzy sampled-data control of chaotic systems is presented by using a time-dependent Lyapunov functional. The advantage of the new method is that the Lyapunov functional is continuous at sampling times but not neces...
Models, Theoretical Signal Processing, Computer-Assisted Algorithms Fuzzy Logic Nonlinear Dynamics Sample Size Computer Simulation Feedback
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Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare.

IEEE journal of biomedical and health informatics Jul 30, 2014
Machine learning is being used in a wide range of application domains to discover patterns in large datasets. Increasingly, the results of machine learning drive critical decisions in applications related to healthcare and biomedicine. Such health-re...
Humans Machine Learning Algorithms Models, Theoretical Medical Informatics Computer Security Databases, Factual Neoplasms
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Adaptive neural control of nonlinear MIMO systems with time-varying output constraints.

IEEE transactions on neural networks and learning systems Jul 15, 2014
In this paper, adaptive neural control is investigated for a class of unknown multiple-input multiple-output nonlinear systems with time-varying asymmetric output constraints. To ensure constraint satisfaction, we employ a system transformation techn...
Adaptation, Physiological Nonlinear Dynamics Online Systems Humans Models, Theoretical Neural Networks, Computer Signal Processing, Computer-Assisted Time Factors
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Learning to track multiple targets.

IEEE transactions on neural networks and learning systems Jul 14, 2014
Monocular multiple-object tracking is a fundamental yet under-addressed computer vision problem. In this paper, we propose a novel learning framework for tracking multiple objects by detection. First, instead of heuristically defining a tracking algo...
Humans Algorithms Learning Neural Networks, Computer Online Systems Mental Recall Video Recording Signal Detection, Psychological Pattern Recognition, Automated Models, Theoretical Photic Stimulation Markov Chains
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