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Predictions for Yields of Huabei Liquefied Petroleum Gas by Using the Classical Apriori Algorithm Model
Authors:Y. Zhang
Affiliation:Library, Liaoning Shihua University, Fushun, Liaoning, China
Abstract:The classical Apriori algorithm model for predicting yields of Huabei liquefied petroleum gas have been introduced based on Visual FoxPro software in the present article. The experimental results show that the classical Apriori algorithm model can predict yields of Huabei liquefied petroleum gas and the experimental data are in agreement with the quantitative analytic conclusions drawn from the predicted data. This proves that it can be used to predict yields of Huabei liquefied petroleum gas. It results in good economic and social benefits for Chinese chemical plant.
Keywords:prediction  yield  Huabei  liquefied petroleum gas  classical a priori algorithm model
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