AIMC Topic: Nonlinear Dynamics

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Biologically-informed neural networks guide mechanistic modeling from sparse experimental data.

PLoS computational biology Dec 1, 2020
Biologically-informed neural networks (BINNs), an extension of physics-informed neural networks [1], are introduced and used to discover the underlying dynamics of biological systems from sparse experimental data. In the present work, BINNs are train...
Machine Learning Computer Simulation Nonlinear Dynamics Neural Networks, Computer
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Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach.

IEEE transactions on neural networks and learning systems Nov 30, 2020
The aim of this article is to investigate the trajectory tracking problem of systems with uncertain models and state restrictions using differential neural networks (DNNs). The adaptive control design considers the design of a nonparametric identifie...
Nonlinear Dynamics Finite Element Analysis Neural Networks, Computer Models, Theoretical Algorithms Computer Simulation Robotics Uncertainty
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Stability Analysis for Nonlinear Impulsive Control System with Uncertainty Factors.

Computational intelligence and neuroscience Nov 21, 2020
Considering the limitation of machine and technology, we study the stability for nonlinear impulsive control system with some uncertainty factors, such as the bounded gain error and the parameter uncertainty. A new sufficient condition for this syste...
Neural Networks, Computer Uncertainty Nonlinear Dynamics
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Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems.

Neural networks : the official journal of the International Neural Network Society Nov 11, 2020
In this paper, a local tracking control (LTC) scheme is developed via particle swarm optimized neural networks (PSONN) for unknown nonlinear interconnected systems. With the local input-output data, a local neural network identifier is constructed to...
Algorithms Computer Simulation Nonlinear Dynamics Neural Networks, Computer
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Echo Memory-Augmented Network for time series classification.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2020
Echo State Networks (ESNs) are efficient recurrent neural networks (RNNs) which have been successfully applied to time series modeling tasks. However, ESNs are unable to capture the history information far from the current time step, since the echo s...
Memory Time Factors Nonlinear Dynamics Neural Networks, Computer Deep Learning
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Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks.

Neural computation Oct 20, 2020
Nonlinear interactions in the dendritic tree play a key role in neural computation. Nevertheless, modeling frameworks aimed at the construction of large-scale, functional spiking neural networks, such as the Neural Engineering Framework, tend to assu...
Models, Neurological Action Potentials Nonlinear Dynamics Dendrites Humans Neural Networks, Computer
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Overparameterized neural networks implement associative memory.

Proceedings of the National Academy of Sciences of the United States of America Oct 16, 2020
Identifying computational mechanisms for memorization and retrieval of data is a long-standing problem at the intersection of machine learning and neuroscience. Our main finding is that standard overparameterized deep neural networks trained using st...
Memory Computational Biology Neural Networks, Computer Machine Learning Nonlinear Dynamics
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A Machine Learning Approach in Analyzing Bioaccumulation of Heavy Metals in Turbot Tissues.

Molecules (Basel, Switzerland) Oct 14, 2020
Metals are considered to be one of the most hazardous substances due to their potential for accumulation, magnification, persistence, and wide distribution in water, sediments, and aquatic organisms. Demersal fish species, such as turbot (), are acce...
Environmental Biomarkers Linear Models Metals, Heavy Flatfishes Bioaccumulation Muscle, Skeletal Machine Learning Nonlinear Dynamics Liver Environmental Monitoring Europe Water Pollutants, Chemical Animals
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Integrated Variational Approach to Conformational Dynamics: A Robust Strategy for Identifying Eigenfunctions of Dynamical Operators.

The journal of physical chemistry. B Oct 9, 2020
One approach to analyzing the dynamics of a physical system is to search for long-lived patterns in its motions. This approach has been particularly successful for molecular dynamics data, where slowly decorrelating patterns can indicate large-scale ...
Molecular Dynamics Simulation Nonlinear Dynamics Neural Networks, Computer Molecular Conformation
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A Medical Decision Support System to Assess Risk Factors for Gastric Cancer Based on Fuzzy Cognitive Map.

Computational and mathematical methods in medicine Oct 5, 2020
Gastric cancer (GC), one of the most common cancers around the world, is a multifactorial disease and there are many risk factors for this disease. Assessing the risk of GC is essential for choosing an appropriate healthcare strategy. There have been...
Nonlinear Dynamics Mathematical Concepts Risk Assessment Diagnosis, Computer-Assisted Fuzzy Logic Artificial Intelligence Stomach Neoplasms Decision Support Systems, Clinical Iran Algorithms Male Computational Biology Humans Female Risk Factors
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