利用前馈神经网络对带有控制参数的非线性动态系统进行机器学习

Hidetsugu Sakaguchi
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引用次数: 0

摘要

有几位学者报告说,回声状态网络利用几个控制参数的数据再现了一些非线性微分方程的分岔图。我们证明,一个更简单的前馈神经网络也能重现全局耦合斯图尔特-朗道方程中物流图和同步转换的分岔图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning of Nonlinear Dynamical Systems with Control Parameters Using Feedforward Neural Networks
Several authors have reported that the echo state network reproduces bifurcation diagrams of some nonlinear differential equations using the data for a few control parameters. We demonstrate that a simpler feedforward neural network can also reproduce the bifurcation diagram of the logistics map and synchronization transition in globally coupled Stuart-Landau equations.
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