Forecasting the model of foreign trade of the eco-environment based on GA-BP neural network

Abstract

In order to more accurately predict industrial emissions, the paper selected BP and GA-BP neural network to establish the prediction model between the foreign trade and industrial waste discharge. Compared of different forecasting methods and examples of analysis of results, it shows that GA-BP neural network had higher accuracy, tolerant and excellent generalization ability than other model on ecology environment. It provides a guidance to forecast foreign trade environment.