现代信息科技2025，Vol.9Issue(6)：93-99,104,8.DOI:10.19850/j.cnki.2096-4706.2025.06.018
基于大数据与人工智能的天气预测模型研究
Research on Weather Forecasting Model Based on Big Data and Artificial Intelligence
摘要
Abstract
The uncertainty and complexity of global climate change have put forward higher requirements for the accuracy of weather forecasting,and this research aims to develop an efficient weather forecasting model based on Machine Learning to cope with the challenges brought by global climate change.In this study,Python is used to integrate statistical modeling techniques such as regression analysis and Decision Tree algorithm to analyze and process meteorological data in depth.The results show that the Decision Tree model has unique advantages in processing nonlinear meteorological data,and its forecasting accuracy and generalization ability are better than those of traditional regression models.The Linear Regression analysis model is robust in capturing the linear relationship of data.The model shows good generalization ability on different datasets and can meet the performance requirements of real-time forecasting.The results of this research provide new perspectives and tools for the field of weather forecasting,and lay a foundation for the future application of Machine Learning in meteorology.关键词
机器学习/天气预测模型/决策树/线性回归Key words
Machine Learning/weather forecasting model/Decision Tree/Linear Regression分类
信息技术与安全科学引用本文复制引用
管冬河,苏博..基于大数据与人工智能的天气预测模型研究[J].现代信息科技,2025,9(6):93-99,104,8.基金项目
2024年山东理工大学大学生创新创业训练项目 （）
