Forecasting of Products Recovery Based on Grey Neural Network Model

摘要

Recovery of discarded products is an effective approach to save resource and to protect environment How to forecast the quantity of the discarded products is a key problem because of the many uncertain factors in the recover}' process.According to the characteristic of the recovery process,we combined the GM(1,1) model and BP neural network to get a new forecasting model.This model has the advantages of the single model The result of the case analysis shows that the combined forecasting model is effective and practical