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Updated: Jun 9, 2025

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基于1D-ResCNN-PLS的传统中医药剂量效应预测的优化方法

Wangping Xiong1, Jiasong Pan1, Zhaoyang Liu1

  • 1School of Computer, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.

Computer methods in biomechanics and biomedical engineering
|October 24, 2024
PubMed
概括

一个具有部分最小平方 (1D-ResCNN-PLS) 的新型一维残余卷积神经网络有效地模拟了传统中医学的非线性剂量效应关系. 与传统方法相比,这种方法显著提高了预测准确度,并减少了错误.

关键词:
一维卷积的1D卷积传统中医药的实验数据.部分最小平方的最小平方.剩余神经网络 剩余神经网络

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