AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 251 to 260 of 780 articles

Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control for Nonlinear Systems With Full-State Constraints and Application to a Single-Link Robot.

IEEE transactions on neural networks and learning systems Oct 27, 2022
This study proposes the time-/event-triggered adaptive neural control strategies for the asymptotic tracking problem of a class of uncertain nonlinear systems with full-state constraints. First, we design a time-triggered strategy. The effect caused ...
Neural Networks, Computer Computer Simulation Robotics Nonlinear Dynamics Uncertainty
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Multistability of Switched Neural Networks With Gaussian Activation Functions Under State-Dependent Switching.

IEEE transactions on neural networks and learning systems Oct 27, 2022
This article presents theoretical results on the multistability of switched neural networks with Gaussian activation functions under state-dependent switching. It is shown herein that the number and location of the equilibrium points of the switched ...
Neural Networks, Computer Algorithms Computer Simulation Neurons Normal Distribution
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Learning From Crowds With Multiple Noisy Label Distribution Propagation.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Crowdsourcing services provide a fast, efficient, and cost-effective way to obtain large labeled data for supervised learning. Unfortunately, the quality of crowdsourced labels cannot satisfy the standards of practical applications. Ground-truth infe...
Humans Neural Networks, Computer
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Command-Filtered Robust Adaptive NN Control With the Prescribed Performance for the 3-D Trajectory Tracking of Underactuated AUVs.

IEEE transactions on neural networks and learning systems Oct 27, 2022
A novel robust adaptive neural network (NN) control scheme with prescribed performance is developed for the 3-D trajectory tracking of underactuated autonomous underwater vehicles (AUVs) with uncertain dynamics and unknown disturbances using new pres...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics Uncertainty
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Frequency Principle in Broad Learning System.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Deep neural networks have achieved breakthrough improvement in various application fields. Nevertheless, they usually suffer from a time-consuming training process because of the complicated structures of neural networks with a huge number of paramet...
Neural Networks, Computer Learning
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Toward Deep Adaptive Hinging Hyperplanes.

IEEE transactions on neural networks and learning systems Oct 27, 2022
The adaptive hinging hyperplane (AHH) model is a popular piecewise linear representation with a generalized tree structure and has been successfully applied in dynamic system identification. In this article, we aim to construct the deep AHH (DAHH) mo...
Neural Networks, Computer Algorithms Brain Neurons
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Exploiting Operation Importance for Differentiable Neural Architecture Search.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Recently, differentiable neural architecture search (NAS) methods have made significant progress in reducing the computational costs of NASs. Existing methods search for the best architecture by choosing candidate operations with higher architecture ...
Neural Networks, Computer Markov Chains
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Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Classical self-supervised networks suffer from convergence problems and reduced segmentation accuracy due to forceful termination. Qubits or bilevel quantum bits often describe quantum neural network models. In this article, a novel self-supervised s...
Humans Neural Networks, Computer Brain Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Generating an Adaptive and Robust Walking Pattern for a Prosthetic Ankle-Foot by Utilizing a Nonlinear Autoregressive Network With Exogenous Inputs.

IEEE transactions on neural networks and learning systems Oct 27, 2022
One of the major challenges in developing powered lower limb prostheses is emulating the behavior of an intact lower limb with different walking speeds over diverse terrains. Numerous studies have been conducted on control algorithms in the field of ...
Humans Neural Networks, Computer Biomechanical Phenomena Walking Gait Prosthesis Design Ankle
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LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Spiking neural networks (SNNs) based on the leaky integrate and fire (LIF) model have been applied to energy-efficient temporal and spatiotemporal processing tasks. Due to the bioplausible neuronal dynamics and simplicity, LIF-SNN benefits from event...
Neural Networks, Computer Cognition Neurons
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