Aquatic product price prediction method and device

Abstract

The invention discloses an aquatic product price prediction method and device. The method includes the following steps that: the historical price data of an aquatic product in a first preset time period are obtained, and a price series is obtained through calculation based on the historical price data; the price series is preprocessed through adopting a partial autocorrelation coefficient analysis method in a time series, so that a training data set can be obtained; a genetic algorithm is adopted to optimize the parameters of a support vector regression machine according to the training data set, so that optimized parameters can be obtained; the support vector regression machine is set according to the optimized parameters, and an aquatic product price prediction model is established; and the price of the aquatic product in a second preset time period is obtained according to the aquatic product price prediction model. With the aquatic product price prediction method and device of the invention adopted, breeders can timely analyze the trend of the aquatic product market so as to reasonably plan breeding, and at the same time, supervision and management on the aquatic product market by the government can be strengthened, and an industrial structure can be optimized.

Description

technical field [0001] The invention relates to the field of aquatic product prices, in particular to a method and device for predicting the price of aquatic products. Background technique [0002] As a concrete reflection of fishery production costs and the relationship between supply and demand of aquatic products, the price of aquatic products is not only related to the production, sales and economic interests of farmers, but also related to the national macroeconomic policy. The change of aquatic product prices is the focus of attention of all aspects of the aquatic product market . [0003] The supply and demand situation of the market is affected by many factors, and these factors are often unstable and constantly changing. Therefore, the balance point of supply and demand in the market is also constantly changing. Generally speaking, changes in supply and demand can be reflected in prices. Therefore, it is necessary to make scientific and accurate predictions on pri...

AI Technical Summary

Problems solved by technology

These factors are reflected in the price, making the price sequence present non-stationary, non-linear, non-cyclical characteristics, and the price of aquatic products is affected by many factors, making it difficult for farmers to make accurate predictions and analysis of future price trends , and timely and effective planning of breeding

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