提出了一种新的用于时间序列预测方法。
为了提高铁矿石消费量的预测精度，采用一种基于智能计算的时间序列预测方法。
In order to improve the prediction accuracy of iron ore consumption, using a time series forecasting method based on intelligent calculation.
分析了基于记忆库混沌时间序列预测方法，引入一种改进核函数的支持向量机分类器。
Secondly the prediction technology of chaotic time series is studied based on memory-based predictor.
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