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Aug, 2024
利用机器学习技术预测混沌系统行为
Predicting Chaotic System Behavior using Machine Learning Techniques
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Huaiyuan Rao, Yichen Zhao, Qiang Lai
TL;DR
本研究解决了传统时间序列预测方法在混沌系统行为预测中的不足，比较了新一代储层计算、储层计算和长短期记忆网络在准确性、效率和鲁棒性方面的表现。研究发现，新一代储层计算在计算效率和预测能力上具有显著优势，有助于推动混沌系统行为的预测研究。
Abstract
Recently,
Machine Learning
techniques, particularly deep learning, have demonstrated superior performance over traditional time series
Forecasting
methods across various applications, including both single-variab
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