AIMC Topic: Feedback

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Distributed leader-following bipartite consensus for one-sided Lipschitz multi-agent systems via dual-terminal event-triggered mechanism.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2024
This article analyses leader-following bipartite consensus for one-sided Lipschitz multi-agent systems by dual-terminal event-triggered output feedback control approach. A distributed observer is designed to estimate unknown system states by employin...
Neural Networks, Computer Algorithms Consensus Robotics Nonlinear Dynamics Computer Simulation Feedback
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Tipping prediction of a class of large-scale radial-ring neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 16, 2024
Understanding the emergence and evolution of collective dynamics in large-scale neural networks remains a complex challenge. This paper seeks to address this gap by applying dynamical systems theory, with a particular focus on tipping mechanisms. Fir...
Synaptic Transmission Algorithms Feedback Neural Networks, Computer
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Larger and more instructable language models become less reliable.

Nature Sep 25, 2024
The prevailing methods to make large language models more powerful and amenable have been based on continuous scaling up (that is, increasing their size, data volume and computational resources) and bespoke shaping up (including post-filtering, fine ...
Research Design Natural Language Processing Reproducibility of Results Feedback
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MRI-compatible and sensorless haptic feedback for cable-driven medical robotics to perform teleoperated needle-based interventions.

International journal of computer assisted radiology and surgery Sep 12, 2024
PURPOSE: Surgical robotics have demonstrated their significance in assisting physicians during minimally invasive surgery. Especially, the integration of haptic and tactile feedback technologies can enhance the surgeon's performance and overall patie...
Humans Feedback Telemedicine Needles Magnetic Resonance Imaging, Interventional Equipment Design Phantoms, Imaging Magnetic Resonance Imaging Robotic Surgical Procedures Robotics Surgery, Computer-Assisted
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Aperiodically intermittent quantized control-based exponential synchronization of quaternion-valued inertial neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 29, 2024
Inertial neural networks are proposed via introducing an inertia term into the Hopfield models, which make their dynamic behavior more complex compared to the traditional first-order models. Besides, the aperiodically intermittent quantized control o...
Humans Neural Networks, Computer Computer Simulation Nonlinear Dynamics Algorithms Feedback
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A new hybrid learning control system for robots based on spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
This paper presents a new hybrid learning and control method that can tune their parameters based on reinforcement learning. In the new proposed method, nonlinear controllers are considered multi-input multi-output functions and then the functions ar...
Nonlinear Dynamics Reinforcement, Psychology Neuronal Plasticity Models, Neurological Robotics Machine Learning Action Potentials Neural Networks, Computer Neurons Algorithms Feedback
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Finite-time cluster synchronization of multi-weighted fractional-order coupled neural networks with and without impulsive effects.

Neural networks : the official journal of the International Neural Network Society Aug 17, 2024
In this paper, finite-time cluster synchronization (FTCS) of multi-weighted fractional-order neural networks is studied. Firstly, a FTCS criterion of the considered neural networks is obtained by designing a new delayed state feedback controller. Sec...
Computer Simulation Feedback Nonlinear Dynamics Time Factors Neural Networks, Computer Algorithms
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Neural operators for robust output regulation of hyperbolic PDEs.

Neural networks : the official journal of the International Neural Network Society Aug 8, 2024
The recently introduced neural operator (NO) has been employed as a gain approximator in the backstepping stabilization control of first-order hyperbolic and parabolic partial differential equation (PDE) systems. Due to the global approximation abili...
Feedback Uncertainty Algorithms Computer Simulation Neural Networks, Computer
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Radiographical diagnostic competences of dental students using various feedback methods and integrating an artificial intelligence application-A randomized clinical trial.

European journal of dental education : official journal of the Association for Dental Education in Europe Jul 31, 2024
INTRODUCTION: Radiographic diagnostic competences are a primary focus of dental education. This study assessed two feedback methods to enhance learning outcomes and explored the feasibility of artificial intelligence (AI) to support education.
Radiography, Bitewing Periapical Periodontitis Formative Feedback Students, Dental Female Education, Dental Feedback Dental Caries Clinical Competence Male Humans Radiography, Dental Educational Measurement Artificial Intelligence
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Photonic deep residual time-delay reservoir computing.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
Time-delay reservoir computing (TDRC) represents a simplified variant of recurrent neural networks, employing a nonlinear node with a feedback mechanism to construct virtual nodes. The capabilities of TDRC can be enhanced by transitioning to a deep a...
Deep Learning Algorithms Time Factors Neural Networks, Computer Nonlinear Dynamics Feedback Artificial Intelligence Neurons Photons
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