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Updated: Jun 21, 2025

Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening
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Published on: April 1, 2016

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提高基于突变的演变人工神经网络的性能,具有自我适应突变

Motoaki Hiraga1, Masahiro Komura2, Akiharu Miyamoto2

  • 1Faculty of Mechanical Engineering, Kyoto Institute of Technology, Kyoto, Japan.

PloS one
|July 15, 2024
PubMed
概括

这项研究通过引入自我适应的突变步骤大小和调整结构突变概率来增强人工神经网络的基于突变的神经进化. 这些改进提高了性能,并防止在不断发展的神经网络架构中的拓膨胀.

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