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Updated: May 1, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
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Published on: March 25, 2014

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模糊的双向长期短期记忆与基于软计算的决策模型的经验评估,用于预测加密货币的波动性

Mahmoud Ragab1,2

  • 1Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, 21589, Jeddah, Saudi Arabia. mragab@kau.edu.sa.

Scientific reports
|March 13, 2025
PubMed
概括

这项研究引入了一种新的AI模型,即软计算 (FBLSTMSC-DMPVC) 的双向长短内存,用于准确预测加密货币的波动性. 该模型显示了比特币和以太坊等主要加密货币的强表现.

关键词:
人工智能的人工智能是人工智能.加密货币 加密货币决策 决策是做出决定的.模糊模型的模糊模型软计算是一种软计算.波动性 波动性 波动性

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