AIMC Topic: Nonlinear Dynamics

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Estimation of instantaneous peak flows in Canadian rivers: an evaluation of conventional, nonlinear regression, and machine learning methods.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 17, 2024
Instantaneous peak flows (IPFs) are often required to derive design values for sizing various hydraulic structures, such as culverts, bridges, and small dams/levees, in addition to informing several water resources management-related activities. Comp...
Machine Learning Canada Nonlinear Dynamics Rivers Regression Analysis Models, Theoretical Water Movements
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Learning spiking neuronal networks with artificial neural networks: neural oscillations.

Journal of mathematical biology Apr 17, 2024
First-principles-based modelings have been extremely successful in providing crucial insights and predictions for complex biological functions and phenomena. However, they can be hard to build and expensive to simulate for complex living systems. On ...
Learning Nonlinear Dynamics Neural Networks, Computer
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Mixing neural networks, continuation and symbolic computation to solve parametric systems of non linear equations.

Neural networks : the official journal of the International Neural Network Society Apr 12, 2024
We consider a square non linear parametric equations system F(P,X) = 0 which is constituted of n non differential equations in the n unknowns {x,…,x} that are the components of X while P={p,…,p} is a set of m parameters that play a role in the defini...
Computer Simulation Algorithms Nonlinear Dynamics Neural Networks, Computer Machine Learning
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Physics-informed neural wavefields with Gabor basis functions.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2024
Recently, Physics-Informed Neural Networks (PINNs) have gained significant attention for their versatile interpolation capabilities in solving partial differential equations (PDEs). Despite their potential, the training can be computationally demandi...
Neurons Nonlinear Dynamics Algorithms Physics Neural Networks, Computer
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Observer-based resilient dissipativity control for discrete-time memristor-based neural networks with unbounded or bounded time-varying delays.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2024
This work focuses on the issue of observer-based resilient dissipativity control of discrete-time memristor-based neural networks (DTMBNNs) with unbounded or bounded time-varying delays. Firstly, the Luenberger observer is designed, and additionally ...
Neural Networks, Computer Algorithms Nonlinear Dynamics Time Factors Computer Simulation
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Generalized latent multi-view clustering with tensorized bipartite graph.

Neural networks : the official journal of the International Neural Network Society Mar 28, 2024
Tensor-based multi-view spectral clustering algorithms use tensors to model the structure of multi-dimensional data to take advantage of the complementary information and high-order correlations embedded in the graph, thus achieving impressive cluste...
Nonlinear Dynamics Algorithms Cluster Analysis Neural Networks, Computer Humans
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Neural Q-learning for discrete-time nonlinear zero-sum games with adjustable convergence rate.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2024
In this paper, an adjustable Q-learning scheme is developed to solve the discrete-time nonlinear zero-sum game problem, which can accelerate the convergence rate of the iterative Q-function sequence. First, the monotonicity and convergence of the ite...
Humans Machine Learning Neural Networks, Computer Computer Simulation Algorithms Nonlinear Dynamics
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Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework.

Neural networks : the official journal of the International Neural Network Society Mar 25, 2024
This paper addresses the predefined-time distributed optimization of nonlinear multi-agent system using a hierarchical control approach. Considering unknown nonlinear functions and external disturbances, we propose a two-layer hierarchical control fr...
Algorithms Neural Networks, Computer Time Factors Computer Simulation Nonlinear Dynamics Robotics
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Adaptive Virotherapy Strategy for Organism With Constrained Input Using Medicine Dosage Regulation Mechanism.

IEEE transactions on cybernetics Mar 18, 2024
In this article, the constrained adaptive control strategy based on virotherapy is investigated for organism using the medicine dosage regulation mechanism (MDRM). First, the tumor-virus-immune interaction dynamics is established to model the relatio...
Nonlinear Dynamics Algorithms Feedback Computer Simulation Neural Networks, Computer
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State identification for a class of uncertain switched systems by differential neural networks.

Network (Bristol, England) Jan 11, 2024
This paper presents a non-parametric identification scheme for a class of uncertain switched nonlinear systems based on continuous-time neural networks. This scheme is based on a continuous neural network identifier. This adaptive identifier guarante...
Uncertainty Computer Simulation Nonlinear Dynamics Gait Neural Networks, Computer Algorithms Humans
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