AIMC Topic: Nonlinear Dynamics

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Optimal synchronization with L-gain performance: An adaptive dynamic programming approach.

Neural networks : the official journal of the International Neural Network Society Jul 25, 2024
This paper studies an optimal synchronous control protocol design for nonlinear multi-agent systems under partially known dynamics and uncertain external disturbance. Under some mild assumptions, Hamilton-Jacobi-Isaacs equation is derived by the perf...
Computer Simulation Nonlinear Dynamics Neural Networks, Computer Algorithms
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Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2024
This paper is concerned with the input-to-state stability (ISS) for a kind of delayed memristor-based inertial neural networks (DMINNs). Based on the nonsmooth analysis and stability theory, novel delay-dependent and delay-independent criteria on the...
Computer Simulation Time Factors Nonlinear Dynamics Neural Networks, Computer Algorithms
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Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
This study is centered around the dynamic behaviors observed in a class of fractional-order generalized reaction-diffusion inertial neural networks (FGRDINNs) with time delays. These networks are characterized by differential equations involving two ...
Time Factors Neural Networks, Computer Computer Simulation Nonlinear Dynamics Algorithms Feedback
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A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation.

Neural networks : the official journal of the International Neural Network Society Jul 16, 2024
This paper proposes a novel fractional-order memristive Hopfield neural network (HNN) to address traveling salesman problem (TSP). Fractional-order memristive HNN can efficiently converge to a globally optimal solution, while conventional HNN tends t...
Computer Simulation Nonlinear Dynamics Neural Networks, Computer Algorithms
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Lag projective synchronization of discrete-time fractional-order quaternion-valued neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society Jul 11, 2024
This paper deals with the lag projective synchronization (LPS) problem for a class of discrete-time fractional-order quaternion-valued neural networks(DTFO QVNNs) systems with time delays. Firstly, a DTFOQVNNs system with time delay is constructed. S...
Computer Simulation Feedback Time Factors Neural Networks, Computer Algorithms Nonlinear Dynamics Linear Models
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A Least-Square Unified Framework for Spatial Filtering in SSVEP-Based BCIs.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 11, 2024
The steady-state visual evoked potential (SSVEP) has become one of the most prominent BCI paradigms with high information transfer rate, and has been widely applied in rehabilitation and assistive applications. This paper proposes a least-square (LS)...
Brain-Computer Interfaces Male Evoked Potentials, Visual Least-Squares Analysis Algorithms Reproducibility of Results Electroencephalography Nonlinear Dynamics Humans Machine Learning
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pyDarwin machine learning algorithms application and comparison in nonlinear mixed-effect model selection and optimization.

Journal of pharmacokinetics and pharmacodynamics Jun 28, 2024
Forward addition/backward elimination (FABE) has been the standard for population pharmacokinetic model selection (PPK) since NONMEM® was introduced. We investigated five machine learning (ML) algorithms (Genetic algorithm [GA], Gaussian process [GP]...
Humans Pharmacokinetics Machine Learning Models, Biological Algorithms Nonlinear Dynamics Computer Simulation
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deepAFT: A nonlinear accelerated failure time model with artificial neural network.

Statistics in medicine Jun 18, 2024
The Cox regression model or accelerated failure time regression models are often used for describing the relationship between survival outcomes and potential explanatory variables. These models assume the studied covariates are connected to the survi...
Deep Learning Models, Statistical Nonlinear Dynamics Proportional Hazards Models Algorithms Survival Analysis Humans Computer Simulation Neural Networks, Computer
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Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications.

Neural networks : the official journal of the International Neural Network Society Jun 12, 2024
In this paper, the problem of time-variant optimization subject to nonlinear equation constraint is studied. To solve the challenging problem, methods based on the neural networks, such as zeroing neural network and gradient neural network, are commo...
Computer Simulation Time Factors Robotics Nonlinear Dynamics Neural Networks, Computer Algorithms Humans
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Deep learning-based low-dose CT simulator for non-linear reconstruction methods.

Medical physics Jun 6, 2024
BACKGROUND: Computer algorithms that simulate lower-doses computed tomography (CT) images from clinical-dose images are widely available. However, most operate in the projection domain and assume access to the reconstruction method. Access to commerc...
Image Processing, Computer-Assisted Nonlinear Dynamics Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning Humans Brain
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