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A new information fusion method of forecasting

机译:一种新的信息融合预测方法

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摘要

In the field of forecasting, there are always more than one method to deal with a problem, and more than one institute will supply their own research on the same problem. It's hard to say which method or information source is better, so the research how to make full use of all the information that we have is valuable. In this paper, we proposed a new fusion method to make full use of all kinds of forecast information to improve the performance of forecasting and made an application to oil price forecast fusion by it. This approach presented a stable and great performance. What's more, it doesn't require training data, little limit of the source data, no complex computation, and it also provides a solution to combination puzzle.
机译:在预测领域,总是有不止一种方法来解决问题,并且不止一家机构将提供有关同一问题的自己的研究。很难说哪种方法或信息来源更好,因此研究如何充分利用我们拥有的所有信息是有价值的。本文提出了一种新的融合方法,可以充分利用各种预测信息来提高预测性能,并将其应用于石油价格预测融合中。这种方法表现出稳定和出色的性能。而且,它不需要训练数据,源数据几乎没有限制,不需要复杂的计算,并且还为组合拼图提供了解决方案。

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