现代信息科技2025，Vol.9Issue(21)：39-43,5.DOI:10.19850/j.cnki.2096-4706.2025.21.008
一种基于DeepSeek的生态环境机器学习方法的应用研究
Research on the Application of an Ecological Environment Machine Learning Method Based on DeepSeek
万斌1
作者信息
- 1. 武汉市生态环境宣教中心,湖北 武汉 430015
- 折叠
摘要
Abstract
With the exponential growth of the scale and complexity of environmental monitoring data,Machine Learning has become an effective means for processing environmental Big Data.However,the interdisciplinary cognitive difference limits the in-depth application of machine learning methods in environmental research.This study proposes a"DeepSeek+Machine Learning+environment"collaborative paradigm.Taking the data of the national environmental air quality automatic monitoring network in Wuhan in 2023 as an example,the DeepSeek platform is used to complete the whole process of data preprocessing,LSTM/XGBoost modeling,training and hyperparameter optimization.The final model RMSE is 6.475 and R2 is 0.871,which is 10.56%higher than the benchmark XGBoost.This result significantly reduces the technical threshold for non-computer background researchers to apply Machine Learning.关键词
DeepSeek/机器学习/环境大数据/模型优化Key words
DeepSeek/Machine Learning/environmental Big Data/model optimization分类
信息技术与安全科学引用本文复制引用
万斌..一种基于DeepSeek的生态环境机器学习方法的应用研究[J].现代信息科技,2025,9(21):39-43,5.
