GilpinLab/skew-mixedp-ic16
收藏Hugging Face2025-09-29 更新2025-11-01 收录
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https://hf-mirror.com/datasets/GilpinLab/skew-mixedp-ic16
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资源简介：
该数据集是用于Panda模型的扩展实验的，Panda模型是一种用于非线性动力学的新型预测模型。数据集包含了2万个混沌动力学系统的合成数据，这些系统是通过进化算法发现的。每个子目录代表一个特定参数扰动下的动力学系统，包含不同初始条件的文件，这些初始条件在傅里叶时间尺度上有不同数量的周期。数据集旨在研究混沌动力学系统的预测和表征。
This dataset is used for the scaling up experiments of the Panda model, a novel forecasting model for nonlinear dynamics. It contains synthetic data from 20,000 chaotic dynamical systems discovered using an evolutionary algorithm. Each subdirectory represents a dynamical system under specific parameter perturbations, including files with different initial conditions, each with a different number of periods on the Fourier timescale. The dataset is designed to study the forecasting and characterization of chaotic dynamical systems.
提供机构：
GilpinLab
