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Updated: Jul 26, 2025

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学习的伪随机数生成器:WGAN-GP用于生成统计学上稳定的随机数

Kiyoshiro Okada1,2, Katsuhiro Endo1, Kenji Yasuoka1

  • 1Department of Mechanical Engineering, Keio University, Yokohama, Japan.

PloS one
|June 14, 2023
PubMed
概括

本研究介绍了一种新的瓦斯斯坦基于距离的生成对抗网络 (WGAN),用于创建通过NIST统计测试的伪随机数生成器 (PRNG). 该方法在没有复杂的数学的情况下学习现有的PRNG,使得更容易生成强大的随机数序列.

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