文献检索/Journal of Hazardous MaterialsEM-T2Journal of Hazardous Materials2026-02-20第 505 卷,141571-141571Using the data-driven prediction of forest combustion PM2.5 emissions based on machine learning and variable inputJibin NingNortheast Forestry UniversityYi YeNortheast Forestry UniversityYanpeng ZhangNortheast Forestry UniversityLixuan WangNortheast Forestry UniversityDaotong GengNortheast Forestry UniversityZ. Q. LiNortheast Forestry UniversityXinyu WangNortheast Forestry UniversityLiqing SiChinese Academy of ForestryWeike LiChinese Academy of ForestryGuang YangNortheast Forestry University去出版社页面 引用论文图谱收藏 被引提醒分享打印登录后看摘要和中文要点英文摘要、AI 生成的中文摘要和三条要点、参考文献和引证文献列表、论文图谱,注册免费。登录 / 注册关键词金融风险与机器学习wildfire smokePM2.5 emissionsmachine learning predictionentropy weight TOPSISmodel evaluationcomputational efficiencyfire intensitymeteorologyfuel propertiestopographic effectsfire spread rateflame characteristicsmultilayer perceptronextra treesprescribed burningair quality managementsmoke management参考文献51引证文献0相似文献引文网络关联作者相关机构登录后可以看完整列表。去登录论文图谱本篇和它的参考文献、引证文献、相似文献登录后可以看这篇的论文图谱:谁被它引用、谁引用了它、还有哪些相似的研究。登录 / 注册