文献检索/Stochastic Environmental Research and Risk AssessmentEM-T1Stochastic Environmental Research and Risk Assessment2015-02-14第 29 卷第 5 期，1345-1370高影响力 · 前 10%Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven modelGuangyuan KanChina Institute of Water Resources and Hydropower ResearchCheng YaoHohai UniversityQiaoling LiHohai UniversityZhijia LiHohai UniversityZhongbo YuHohai UniversityZhiyu LiuMinistry of Water Resources of the People's Republic of ChinaLiuqian DingChina Institute of Water Resources and Hydropower ResearchXiaoyan HeChina Institute of Water Resources and Hydropower ResearchKe LiangHohai 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rainfall-runoff modelingneural network ensembleshybrid data-driven modelpartial mutual informationfeature selectionk-nearest neighbors regressionNSGA-II multi-objective optimizationLevenberg-Marquardt algorithmAkaike information criterionXinanjiang modelIHACRES modelcatchment hydrology参考文献57引证文献8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
