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Updated: May 5, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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激活功能可循环切换的卷积神经网络模型

İsmail Akgül1

  • 1Departmant of Computer Engineering, Erzincan Binali Yıldırım University, Erzincan, Turkey.

PeerJ. Computer science
|March 28, 2025
PubMed
概括

本研究介绍了可循环切换的卷积神经网络 (AFCS-CNN) 的激活功能,这是一种在训练期间动态切换激活功能的新方法. 这种方法可以提高神经网络的性能,而不需要固定或可训练的激活功能.

关键词:
在AFCS-CNN之间.激活功能 激活功能人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.

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