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English(EN) Learned Bow Control on a Measured Bowed-String Model: a Revised Minimum-Bow-Force Law, a Recurrent Controller, and the Domain of a Supervision Ceiling

用于弦乐器的新物理模型和AI控制器

研究人员开发了一种新的弦乐器有限差分模型,该模型包含一个隐式求解的Stribeck摩擦模型。该模型准确地捕捉了Schelleng弓力限制,并在四根弦上实现了高粘滞分数。研究还将比较了各种学习型弓弦控制器,发现门控循环网络表现最佳,尽管它在生成标签方面并未超越查找规则。 AI

排序理由 该集群包含一篇发表在arXiv上的研究论文,详细介绍了用于弦乐器的新物理模型和AI控制器。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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用于弦乐器的新物理模型和AI控制器

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该集群包含一篇发表在arXiv上的研究论文,详细介绍了用于弦乐器的新物理模型和AI控制器。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Homayoon Beigi, Grace Conneely ·

    基于测量弦乐器模型的学习弓弦控制:修正的最小弓力定律、循环控制器及监督上限的域

    arXiv:2609.14990v1 Announce Type: cross Abstract: A finite-difference bowed-string model with implicitly resolved Stribeck friction is presented, with a regime diagnostic, the Schelleng bow-force limits on four strings, and a comparison of learned bow controllers. Implicit resolu…