Prediction of Feed Yield in China Based on BP Neural Network Technology
The development of animal husbandry is inseparable from feed production,and the accurate prediction of feed production is essential for production planning of animal husbandry and feed industry,which is also an important guarantee for sustainable development.the panel data of feed production was used in China from 1990 to 2022 and the BP neural network prediction model was simulated by using MATLAB software aiming to scientifically predict the feed production in China from 2023 to 2024.The results showed that the correlation coefficient between the predicted value and the actual value of the BP neural network model was as high as 0.9998,and the model verification of China's feed yield in 2022 showed that the prediction error was only 1.07%,the indicating that the iterative learning effect of the model was good.The forecast results showed that China's feed output in 2023 and 2024 would be 330.4162 million tons and 299.8632 million tons,respectively.This study was expected to provide an important theoretical reference for the sustainable development of feed production in China.
BP neural network technologyprediction modelfeed yieldprediction
万方数据
维普
