Construction and Research of Agricultural Product Price Prediction Model Based on Intelligent Algorithm
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DOI: 10.25236/iwmecs.2020.014
Corresponding Author
Dandan Song
Abstract
In order to solve the problem of price prediction of agricultural products, a price prediction model based on intelligent algorithm is established. Through the construction of grey prediction model and neural network algorithm model, it is used in the work of agricultural product price prediction, and the experimental results are obtained and analyzed. The research shows that both the grey prediction model and the neural network algorithm model meet the needs of agricultural product price prediction, which are reasonable, reliable and practical, and worthy of promotion and application.
Keywords
Intelligent Algorithm, Agricultural Product Price Prediction Model, Grey Prediction Model, Neural Network Algorithm Model