AIMC Topic: Nonlinear Dynamics

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Numerical investigations of the nonlinear smoke model using the Gudermannian neural networks.

Mathematical biosciences and engineering : MBE Nov 15, 2021
These investigations are to find the numerical solutions of the nonlinear smoke model to exploit a stochastic framework called gudermannian neural works (GNNs) along with the optimization procedures of global/local search terminologies based genetic ...
Nonlinear Dynamics Smoking Algorithms Reproducibility of Results Neural Networks, Computer
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Adaptive Neural Network Control of Time Delay Teleoperation System Based on Model Approximation.

Sensors (Basel, Switzerland) Nov 9, 2021
A bilateral neural network adaptive controller is designed for a class of teleoperation systems with constant time delay, external disturbance and internal friction. The stability of the teleoperation force feedback system with constant communication...
Nonlinear Dynamics Mechanical Phenomena Uncertainty Neural Networks, Computer Feedback
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Finite- and Fixed-Time Cluster Synchronization of Nonlinearly Coupled Delayed Neural Networks via Pinning Control.

IEEE transactions on neural networks and learning systems Oct 27, 2021
In this article, the cluster synchronization problem for a class of the nonlinearly coupled delayed neural networks (NNs) in both finite- and fixed-time cases are investigated. Based on the Lyapunov stability theory and pinning control strategy, some...
Humans Time Factors Cluster Analysis Neural Networks, Computer Algorithms Nonlinear Dynamics Finite Element Analysis
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Discrete-Time H Neural Control Using Reinforcement Learning.

IEEE transactions on neural networks and learning systems Oct 27, 2021
In this article, we discuss H control for unknown nonlinear systems in discrete time. A discrete-time recurrent neural network is used to model the nonlinear system, and then, the H tracking control is applied based on the neural model. Since this ne...
Time Factors Humans Reinforcement, Psychology Neural Networks, Computer Nonlinear Dynamics
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Advanced computation in cardiovascular physiology: new challenges and opportunities.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Oct 25, 2021
Recent developments in computational physiology have successfully exploited advanced signal processing and artificial intelligence tools for predicting or uncovering characteristic features of physiological and pathological states in humans. While th...
Humans Nonlinear Dynamics Artificial Intelligence Algorithms Signal Processing, Computer-Assisted Heart Rate
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Neural Network Command Filtered Control of Fractional-Order Chaotic Systems.

Computational intelligence and neuroscience Oct 21, 2021
An adaptive neural network (NN) backstepping control method based on command filtering is proposed for a class of fractional-order chaotic systems (FOCSs) in this paper. In order to solve the problem of the item explosion in the classical backsteppin...
Feedback Neural Networks, Computer Nonlinear Dynamics Computer Simulation
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PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning.

IEEE transactions on neural networks and learning systems Oct 5, 2021
This article devises a photograph-based monitoring model to estimate the real-time PM concentrations, overcoming currently popular electrochemical sensor-based PM monitoring methods' shortcomings such as low-density spatial distribution and time dela...
Photography Particulate Matter Nonlinear Dynamics SARS-CoV-2 Deep Learning Environmental Monitoring Particle Size Algorithms Databases, Factual Humans COVID-19
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In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks.

Nature materials Oct 4, 2021
Neuromorphic computing aims at the realization of intelligent systems able to process information similarly to our brain. Brain-inspired computing paradigms have been implemented in crossbar arrays of memristive devices; however, this approach does n...
Brain Neural Networks, Computer Neurons Nonlinear Dynamics Nanowires
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Competency of Neural Networks for the Numerical Treatment of Nonlinear Host-Vector-Predator Model.

Computational and mathematical methods in medicine Oct 4, 2021
The aim of this work is to introduce a stochastic solver based on the Levenberg-Marquardt backpropagation neural networks (LMBNNs) for the nonlinear host-vector-predator model. The nonlinear host-vector-predator model is dependent upon five classes, ...
Plant Diseases Vector Borne Diseases Predatory Behavior Neural Networks, Computer Stochastic Processes Models, Biological Computer Simulation Animals Disease Vectors Nonlinear Dynamics Computational Biology
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Effect of combining features generated through non-linear analysis and wavelet transform of EEG signals for the diagnosis of encephalopathy.

Neuroscience letters Sep 25, 2021
Electroencephalogram (EEG) signals portray hidden neuronal interactions in the brain and indicate brain dynamics. These signals are dynamic, complex, chaotic and nonlinear, the nature of which is represented with features - fractal dimensions, entrop...
Wavelet Analysis Humans Nonlinear Dynamics Support Vector Machine Brain Diseases Electroencephalography
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