AIMC Topic: Computer Simulation

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Fuzzy Object Skeletonization: Theory, Algorithms, and Applications.

IEEE transactions on visualization and computer graphics Aug 10, 2017
Skeletonization offers a compact representation of an object while preserving important topological and geometrical features. Literature on skeletonization of binary objects is quite mature. However, challenges involved with skeletonization of fuzzy ...
Phantoms, Imaging Computer Graphics Models, Anatomic Fuzzy Logic Models, Statistical Bone and Bones X-Ray Microtomography Humans Algorithms Computer Simulation Tomography, X-Ray Computed Animals
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Adaptive fuzzy sliding control of single-phase PV grid-connected inverter.

PloS one Aug 10, 2017
In this paper, an adaptive fuzzy sliding mode controller is proposed to control a two-stage single-phase photovoltaic (PV) grid-connected inverter. Two key technologies are discussed in the presented PV system. An incremental conductance method with ...
Algorithms Nonlinear Dynamics Computer Simulation Electric Conductivity Fuzzy Logic Electric Power Supplies
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Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning.

PloS one Aug 7, 2017
Structural heterogeneity in single-particle cryo-electron microscopy (cryo-EM) data represents a major challenge for high-resolution structure determination. Unsupervised classification may serve as the first step in the assessment of structural hete...
Cryoelectron Microscopy Proteasome Endopeptidase Complex Ribosome Subunits, Large, Bacterial Principal Component Analysis Escherichia coli Computer Simulation Inflammasomes Cluster Analysis Imaging, Three-Dimensional Multivariate Analysis Unsupervised Machine Learning Image Processing, Computer-Assisted
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Developmental Approach for Behavior Learning Using Primitive Motion Skills.

International journal of neural systems Aug 6, 2017
Imitation learning through self-exploration is essential in developing sensorimotor skills. Most developmental theories emphasize that social interactions, especially understanding of observed actions, could be first achieved through imitation, yet t...
Humans Biomechanical Phenomena Posture Robotics Artificial Intelligence Computer Simulation Learning Imitative Behavior Motor Skills Visual Perception Exploratory Behavior Models, Biological Markov Chains Pattern Recognition, Automated
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Blind Nonnegative Source Separation Using Biological Neural Networks.

Neural computation Aug 4, 2017
Blind source separation-the extraction of independent sources from a mixture-is an important problem for both artificial and natural signal processing. Here, we address a special case of this problem when sources (but not the mixing matrix) are known...
Animals Signal Processing, Computer-Assisted Models, Biological Neural Networks, Computer Computer Simulation
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Iterative Learning Impedance for Lower Limb Rehabilitation Robot.

Journal of healthcare engineering Aug 1, 2017
This paper discusses the problem of squatting training of stroke patients. The main idea is to correct the patient's training trajectory through an iterative learning control (ILC) method. To obtain better rehabilitation effect, a patient will typica...
Equipment Design Biomechanical Phenomena Reference Standards Lower Extremity Male Stroke Rehabilitation Learning Humans Posture Persons with Disabilities Young Adult Algorithms Robotics Feedback Computer Simulation
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The combination of circle topology and leaky integrator neurons remarkably improves the performance of echo state network on time series prediction.

PloS one Jul 31, 2017
Recently, echo state network (ESN) has attracted a great deal of attention due to its high accuracy and efficient learning performance. Compared with the traditional random structure and classical sigmoid units, simple circle topology and leaky integ...
Neural Networks, Computer Machine Learning Software Principal Component Analysis Algorithms Nonlinear Dynamics Computer Simulation Reproducibility of Results
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Information reduction in a reverberatory neuronal network through convergence to complex oscillatory firing patterns.

Bio Systems Jul 27, 2017
Dynamics of a reverberating neural net is studied by means of computer simulation. The net, which is composed of 9 leaky integrate-and-fire (LIF) neurons arranged in a square lattice, is fully connected with interneuronal communication delay proporti...
Action Potentials Neurons Nerve Net Neural Networks, Computer Computer Simulation Humans Models, Neurological
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Adaptive Neural Network Control of a Robotic Manipulator With Time-Varying Output Constraints.

IEEE transactions on cybernetics Jul 27, 2017
The control problem of an uncertain n -degrees of freedom robotic manipulator subjected to time-varying output constraints is investigated in this paper. We describe the rigid robotic manipulator system as a multi-input and multi-output nonlinear sys...
Neural Networks, Computer Humans Robotics Nonlinear Dynamics Computer Simulation Feedback
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Reconstructing Genetic Regulatory Networks Using Two-Step Algorithms with the Differential Equation Models of Neural Networks.

Interdisciplinary sciences, computational life sciences Jul 26, 2017
BACKGROUND: The identification of genetic regulatory networks (GRNs) provides insights into complex cellular processes. A class of recurrent neural networks (RNNs) captures the dynamics of GRN. Algorithms combining the RNN and machine learning scheme...
Cell Cycle SOS Response, Genetics Databases, Genetic Area Under Curve Saccharomyces cerevisiae Neural Networks, Computer Algorithms Computer Simulation Gene Regulatory Networks Models, Genetic Escherichia coli
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