文献检索/Natural HazardsEM-T1Natural Hazards2022-05-21第 113 卷第 3 期，1543-1562开放获取How do multiple kernel functions in machine learning algorithms improve precision in flood probability mapping?Muhammad Aslam BaigChinese Academy of SciencesDonghong XiongTribhuvan UniversityMahfuzur RahmanInternational University of Business Agriculture and TechnologyMd. Monirul IslamInternational University of Business Agriculture and TechnologyAhmed ElbeltagiMansoura UniversityBelayneh YigezChinese Academy of SciencesDil KumarChinese Academy of SciencesMuhammad TayabNortheast Normal UniversityAshraf Mahmmood DewanCurtin University开放获取全文去出版社页面 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 / 注册关键词洪涝风险与减灾金融风险与机器学习support vector machineGaussian process regressionGaussian kernelpolynomial kernelKoshi River Basinflood riskflood influencing factorsflood risk mitigation参考文献79引证文献3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
