An experiment in combining numerical simulation and machine learning
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Updated
Sep 26, 2017 - Python
An experiment in combining numerical simulation and machine learning
Code from the study "Ghost channels and ghost cycles guiding long transients in dynamical systems"
Higher order partial derivatives computation with respect to one or several tensor-like variables, applications to nonlinear dynamics
Transfer operator toolbox for numpy/torch.
Python code for a polyhedral set-valued observer with an application to nonlinear systems on a Lie group.
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
Soliton model algos like the Kadomtsev-Petviashvili and Korteweg–De Vries equations
This repository contains the code and data associated with the paper titled "Reappraising double pendulum dynamics across multiple computational platforms"
Code used for von Schantz & Ehtamo "Overtaking others in a spatial game of exit congestion"
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
非线性单自由度(SDOF)时程分析/非线性反应谱(等强度谱,等延性谱)分析
supplement to "Synchronizability of directed networks: the power of non-existent ties"
Python Scripts for Simulating the Dynamics of Naming Game Models
Transfer learning nonlinear plasma dynamic transitions in neural encoder-decoder network
Projects for Non-Linear Dynamics
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
A review of HAVOK and reservoir computing for chaotic dynamics forecasting
For doing multidimensional recurrent quantification analysis(MdRQA) and sliding window version of it
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