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Updated: Jun 12, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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Published on: March 13, 2021

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对卷积神经网络的高效自适应性学习速率基于二进制插值群群优化算法

Peiyang Wei1,2,3,4, Mingsheng Shang3,4, Jiesan Zhou2

  • 1School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China.

Heliyon
|September 25, 2024
PubMed
概括

本研究引入了对卷积神经网络 (CNN) 的适应性学习速率规则,以提高多域图像分类性能. 这种新的方法提高了预测准确性和趋同性,在基准数据集上实现了高准确率.

关键词:
适应性学习率是指适应性的学习速度.卷积神经网络是一种卷积神经网络.埃格雷特群群优化算法 群群优化算法多域图像分类多域图像分类通过二次式插值进行二次式插值.

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