Agricultural product price prediction method based on EMD-ELM
A technology for price forecasting and agricultural products, which is applied in the fields of instruments, commerce, and data processing applications, and can solve problems such as the impact of forecasting effects
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[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0019] See Figure 1-5 This embodiment provides an EMD-ELM-based agricultural product price prediction method, which includes the following steps: first collect agricultural product price time series data; then use empirical modal decomposition to decompose the original agricultural product price time series into several eigenmode functions (IMF) and remainder, and then use extreme learning machine to predict these components respectively...
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