Research on Forecasting Methods of Agricultural Products Consumption Behavior Based on Unsupervised Learning

Hui Yang,Tian Yang,Xiangxin Ma,Jia Lin,Qiangyi Li

doi:10.1155/2022/5034976

Abstract

Constructing a perfect urban fresh agricultural product supply system is the basic guarantee for the stability of urban life, and it is also the basic condition for supporting urbanization. This paper combines unsupervised learning algorithms to predict and analyze agricultural product consumption behaviors, determines whether to generate new neurons through the cumulative error value of the winning neurons, and gives a network model that can dynamically self-grow. Moreover, this paper constructs an agricultural product consumption behavior prediction model based on unsupervised learning and uses data to verify the performance of the algorithm in this paper. After confirming the performance test of the algorithm, it verifies the prediction effect of this method on the consumption behavior of agricultural products. Through statistical analysis of data, it can be known that the prediction method of agricultural consumption behavior based on unsupervised learning has a certain effect.

Highlights

Consumer demand refers to the consumer’s demand and desire for consumer products. is need must meet two basic elements together: purchasing power and purchasing desire
The shortcoming of this theory is that it has separated from the basic conditions of society, separated from the historical development process of human beings in different periods and social practice to consider human needs and demand structure
Is article combines the unsupervised learning algorithm to predict and analyze the consumption behavior of agricultural products and test the method proposed in this paper to improve the prediction effect of subsequent agricultural product consumption behavior, which provides a theoretical reference for subsequent agricultural product marketing

Summary

Introduction

Consumer demand refers to the consumer’s demand and desire for consumer products. is need must meet two basic elements together: purchasing power and purchasing desire. E theory divides the basic needs from low to high into five levels from the perspective of the different development stages of human needs. The shortcoming of this theory is that it has separated from the basic conditions of society, separated from the historical development process of human beings in different periods and social practice to consider human needs and demand structure. Is article combines the rise of the social e-commerce model and the penetration rate of various social software applications and, on this basis, studies many e-commerce models and conducts research on consumer online shopping behaviors of characteristic agricultural products under the social e-commerce model. Is article combines the unsupervised learning algorithm to predict and analyze the consumption behavior of agricultural products and test the method proposed in this paper to improve the prediction effect of subsequent agricultural product consumption behavior, which provides a theoretical reference for subsequent agricultural product marketing

Related Work

Motivation Formation