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机译:大量数据预测混沌复杂时间序列的一种新型模型
School of information engineering Inner Mongolia University of Science and Technology Inner Mongolia 014010 China;
School of information engineering Inner Mongolia University of Science and Technology Inner Mongolia 014010 China|School of Renewable Energy North China Electric Power University Beijing 100000 China;
School of information engineering Inner Mongolia University of Science and Technology Inner Mongolia 014010 China;
School of Renewable Energy North China Electric Power University Beijing 100000 China;
School of information engineering Inner Mongolia University of Science and Technology Inner Mongolia 014010 China|School of Renewable Energy North China Electric Power University Beijing 100000 China;
S-means; System identification; Time series forecasting; Time series with large of data;
机译:尺度UKF-NARX混合模型用于混沌时间序列数据的多步提前预测
机译:基于线性和非线性框架的混沌时间序列建模:在风速预测中的应用
机译:基于线性和非线性框架的混沌时间序列建模:风速预测应用
机译:共同发展的数据驱动模型和测试数据集与预测混沌时间序列的应用
机译:利用集成神经网络和Taguchi的实验设计的协同作用,通过残差分析对混沌时间序列进行预测。
机译:具有稀疏异构临床数据的ICU疾病严重程度评估和预测的多元时间序列建模方法
机译:用时间序列数据挖掘预测混沌股市数据
机译:未来的任务研究:直接从其混沌时间序列预测太阳通量