机译:基于两阶段分解技术和改进的极限学习机的空气质量指标混合预测模型
School of Economics and Management, China University of Geosciences, Wuhan 430074, China,Mineral Resource Strategy and Policy Research Center, China University of Geosiences, Wuhan 430074, China,Univerite de Bourgogne Franche-Comte, UTBM, IRTES, Rue Thierry Mieg, 90010 Belfort cedex, France;
School of Economics and Management, China University of Geosciences, Wuhan 430074, China,Mineral Resource Strategy and Policy Research Center, China University of Geosiences, Wuhan 430074, China;
School of Economics and Management, China University of Geosciences, Wuhan 430074, China,Mineral Resource Strategy and Policy Research Center, China University of Geosiences, Wuhan 430074, China;
School of Economics and Management, China University of Geosciences, Wuhan 430074, China,Mineral Resource Strategy and Policy Research Center, China University of Geosiences, Wuhan 430074, China;
Univerite de Bourgogne Franche-Comte, UTBM, IRTES, Rue Thierry Mieg, 90010 Belfort cedex, France;
air quality index (aqi); complementary ensemble empirical mode de-composition (ceemd); variational mode decomposition (vmd); differential evolution (de); extreme learning machine (elm);
机译:混合空气质量预警框架:在线连续极限学习机和经验模式分解算法的每小时预报模型
机译:基于两级分解技术和AdaBoost-extreme学习机的混合模型进行多级提前风速预测
机译:基于两层分解方法和极限学习机的混合模型的设计与实现,以支持水质参数的实时环境监测
机译:基于小波分解和极端学习机的混合短期风速预测模型
机译:预测风力涡轮机故障和相关成本:调查故障原因,影响和严重性,建模可靠性并使用可靠性方法和机器学习技术预测风力涡轮机的故障时间,维修时间和故障成本
机译:基于端点条件和组合预测模型的空气质量时间序列混合预测方法
机译:基于变分模块分解的中国电网投资需求预测的混合模型,规范优势学习机和支持向量机