Weighted Fractional Discrete Verhulst Model and Its Application
In order to improve the fitting and prediction accuracy of the traditional Verhulst model,the article adopts the information processing method of weighted accumulation and weighted reducing according to the new information priority principle,and establishes a discrete Verhulst model based on weighted fractional accumulation.The population at the end of the year in Hebei Province is adopted.Make predictions and compare the new model with the traditional Verhulst model and the fractional discrete Verhulst model.The results show that the weighted fractional discrete Verhulst model has high accuracy and strong stability,and has certain practical value.
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