English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In order to improve the predicting correctness of the grain price effectively and offer the theoretical basis for establishing measurement of controlling grain price, the combined prediction algorithm combining the grey prediction model and least squares support vector machine prediction model is applied in predicting the grain price. Firstly, grey prediction model is constructed. Secondly, the least squares support vector machine prediction model is constructed. Thirdly, the combined prediction model is established. Finally, the prediction analysis of grain price is carried out based on combined prediction model and results show that the combined prediction algorithm can improve the prediction precision of grain price effectively.

Study on Prediction and Controlling of Grain Price Based on Combined Predicting Algorithm