参数管理激活函数用于将神经网络潜能与由低维潜能强制执行的物理行为相匹配

Farideh Badichi Akher1, Yinan Shu1, Zoltan Varga1

  • 1Department of Chemistry and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455-0431, United States.

概括

这项研究引入了一个神经网络的新型激活函数,通过强制物理约束,如消失的相互作用来增强机器学习潜力. 这提高了稀疏数据区域的准确性,以新的臭氧潜在能量表面为例.

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