Akane Ohkubo1, Masanobu Inubushi2,3,4

  • 1Department of Applied Mathematics, Tokyo University of Science, Shinjuku, Tokyo, 162-8601, Japan.

Scientific reports
|December 27, 2024
PubMed
概括

本研究介绍了储计算的通用读数,提高了混乱系统的预测准确性和稳定性. 非线性读数通过更好地近似复杂的动态来改进传统的线性方法.

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