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arXiv 1406.7534nlin.AO
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具有时滞反馈的简单动力系统的自主学习

Autonomous Learning by Simple Dynamical Systems with Delayed Feedbacks

Pablo Kaluza, Alexander S. Mikhailov

摘要:

提出了一种构造动力系统的一般方案,该动力系统能够通过调整其内部结构来学习生成所需的动力学类型。该计划涉及内在的时间延迟反馈,以引导动态的目标性能。作为一个例子,一个系统的耦合相位振荡器,它可以通过改变其元素之间的连接的权重演变到一个动态的状态与规定的(低或高)的同步水平,被认为是和调查。

英文摘要:

A general scheme for construction of dynamical systems able to learn generation of the desired kinds of dynamics through adjustment of their internal structure is proposed. The scheme involves intrinsic time-delayed feedback to steer the dynamics towards the target performance. As an example, a system of coupled phase oscillators, which can by changing the weights of connections between its elements evolve to a dynamical state with the prescribed (low or high) synchronization level, is considered and investigated.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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