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机译:使用随机林回归和多变量自适应回归花键评估桩型驾驶性能
School of Civil Engineering Chongqing University Chongqing People's Republic of China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing University Chongqing People's Republic of China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing University Chongqing People's Republic of China;
School of Civil Engineering Chongqing University Chongqing People's Republic of China;
School of Civil Engineering Chongqing University Chongqing People's Republic of China;
School of Civil Engineering Chongqing University Chongqing People's Republic of China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing University Chongqing People's Republic of China;
Department of Civil Engineering National Institute of Technology Patna Patna India;
Random forest regression; multivariate adaptive regression splines; pile drivability; cross-validation; Lasso regularisation;
机译:随机森林时间序列,支持向量回归和多元自适应回归样条模型在降雪预测中的应用(以伊朗扎格罗斯中部的Alvand为例)
机译:多元自适应回归样条和神经网络模型预测桩身稳定性
机译:多元自适应回归样条和神经网络模型预测桩身稳定性
机译:使用多变量自适应回归样条,随机林和分类和回归树预测臭氧层浓度
机译:利用多元自适应回归样条(MARS)扩展单调缺失模式数据插补的回归方法,并应用于系统随机缺失研究(SMAR)研究设计
机译:改组多元自适应回归样条和自适应神经模糊推理系统作为SARS抑制剂QSAR研究的工具
机译:多元自适应回归样条和神经网络模型预测桩的可驱动性
机译:G / spLINEs:弗里德曼多元自适应回归样条(maRs)算法与Holland遗传算法的混合