Design And Implementation Of Agricultural Product Price Forecasting System Based On Combination Model

Nowadays,with the development of science and technology,the data of all walks of life are saved in time,the amount of data is large,the number of dimensions is high,and the types of data are many.It is more difficult for people to obtain valuable information from a large amount of data.But with the advancement of technology,many intelligent algorithm theories have been proposed by scientific researchers,using intelligent algorithms to extract meaningful and valuable information from a large amount of data.China has a vast land and agricultural information is relatively occluded.People cannot obtain agricultural product price information in time and predict the trend of agricultural product prices in the future.There is an urgent need for a timely access to agricultural product price information and the ability to price agricultural products in the future.Predicted system.Therefore,this paper aims to realize a product price forecasting system based on combined model.Users can query the price information of agricultural products,and at the same time predict and analyze the price of certain agricultural products in the future,which is very convenient for farmers and consumers to grasp the information of agricultural products.In order to realize the agricultural product price forecasting system,this paper deeply studies the commonly used forecasting algorithms,proposes an optimized forecasting algorithm,and combines various algorithm features to design a kind of agricultural product price forecasting algorithm based on combined model,which makes the forecasting accuracy rate further and the algorithm more stable.At the same time,the Web development framework is studied,and how to ensure the smooth and efficient operation of the Web system;the background database uses read-write separation and master-slave backup technology to ensure system reliability and data integrity.This paper firstly describes the research status of agricultural product price forecasting system and forecasting model at home and abroad,introduces data mining,JavaEE Web development framework and common forecasting algorithm model.Based on this,the core module BP-SVR-BP combination model is introduced in detail.Then,starting from the system demand analysis,the structure and function of the agricultural product price forecasting system were designed.Finally,relying on the project of the “Gui'an Smart City Transportation Management Center Visualization Platform”,the data provided by the platform was used as the support,and the laboratory equipment was used to realize Agricultural product price forecasting system based on combined model.Through the realization of the agricultural product price forecasting system,the feasibility of the BP-SVR-BP combined model in agricultural product price forecasting is confirmed.At the same time,the agricultural product price forecasting system of this paper has higher prediction accuracy and more comprehensive services.At the end of the paper,the whole system operation was tested.The test results show that the system has higher accuracy rate forecast for agricultural products,and can provide analysis of agricultural product price trends.Other functions can be operated normally,and the targets and projects of forecasting are completed.demand.