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机译:带有扩展极限学习机的新型分解集成模型用于原油价格预测
School of Economics and Management, Beijing University of Chemical Technology, 15 Beisanhuan East Road, Beijing 100029, China;
School of Economics and Management, Beijing University of Chemical Technology, 15 Beisanhuan East Road, Beijing 100029, China;
School of Economics and Management, Beijing University of Chemical Technology, 15 Beisanhuan East Road, Beijing 100029, China;
Crude oil price forecasting; New production development; Artificial intelligence; Decomposition-and-ensemble learning paradigm; Extended extreme learning machine;
机译:基于两层分解技术和通过粒子群优化算法优化的极端分解技术的多步原油价格预测
机译:通过结合改进的整体集成经验模式分解的极限学习机模型进行重要的波高预测
机译:使用RVFL网络进行原油价格预测的非迭代分解集合学习范式
机译:基于极限学习机和完整集成经验模态分解的风速预测模型
机译:运行的短程(SR2LR)流流量预测不良播种盆地:变分合奏预测的未开发维度,建模范式的时空结构,以及机器学习策略的作用
机译:基于新型形态成分分析模型的日间原油价格预测
机译:通过采用集合经验模式分解和极端学习机的短期电价预测