Official implementation of "A novel weighted approach for time series forecasting based on visibility graph"
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Updated
Jul 2, 2024 - Python
Official implementation of "A novel weighted approach for time series forecasting based on visibility graph"
Code from the study "Ghost channels and ghost cycles guiding long transients in dynamical systems"
An experiment in combining numerical simulation and machine learning
Higher order partial derivatives computation with respect to one or several tensor-like variables, applications to 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"
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.
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"
Projects for Non-Linear Dynamics
Transfer learning nonlinear plasma dynamic transitions in neural encoder-decoder network
Python Scripts for Simulating the Dynamics of Naming Game Models
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
For doing multidimensional recurrent quantification analysis(MdRQA) and sliding window version of it
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