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对混沌时间序列相空间重构中最佳延迟时间间隔和嵌入维数的选取方法作
了综述,提出了同时考虑这2 个参数选取的重构展开虚假邻点法以及预测误差最小-Of chaotic time series phase space reconstruction of the best delay time interval and the embedding dimension of the selection methods were reviewed and put forward these two pa
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Time Series prediction with Feed-Forward Neural Networks
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用时间序列分析中的自适应滤波预测法,建立某市用电量的预测模型
-Using time series analysis of adaptive filtering prediction method, a city electricity consumption forecasting model
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In our model, firstly, we predict the residence of the
offender based on the locations of the last crime scenes with three
methods (distance analysis: the location that has the shortest
distance to each crime site, circle fitting, probability t
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质量非常好的一篇博士论文。冲击破坏过程十分复杂，很难建立精确的数学模型，但目前具有冲击危险性的矿井都采取了多种监测措施，可以获得大量冲击地压监测数据。本论文以获取的冲击地压监测历史时间序列数据为基础，在相空间重构出的动力学空间中分析其混沌特性，基于混沌预测理论，采用智能算法对多个冲击地压监测变量进行预测研究，并采用集成分类方法对冲击危险性进行识别预测研究。-Quality is very good a doctoral dissertation. The impact of the destru
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