Research On Anti Dumping Early Warning Of China’s Steel Industry Based On BP Neural Network

With the rapid development of China’s economy,China has overtaken Japan as the second largest economic entity in the world and the United States is still the largest economic entity.China and the United States are in the relationship of cooperation as well as the relationship of competition in trade,especially in the steel trade.The United States frequently set limits on China in the steel industry.Until 2016,over 40anti-dumping investigations on Chinese steel products have been taken,accounting for 35% of the total number of anti-dumping investigations on China’s Chinese hair.This paper is to protect the development of Chinese iron and steel enterprises,and set up an early warning index system of Sino US iron and steel trade friction,and build an anti-dumping early warning model based on BP neural network.So we can predict and test the anti dumping situation in the United States to China in 2016,as well as predict and analyze the anti dumping situation in the US to China in 2017..This paper makes a theoretical overview of anti-dumping,anti dumping early warning system and BP neural network,and analyzes the development and status of the steel industry in China and the United States,as well as the status of anti-dumping against China’s steel products in the United States,and summarizes the reasons for China’s anti dumping and the current situation and shortcomings of the anti dumping early warning system.Secondly,the relevant concepts are elaborated,and the mechanism of anti-dumping warning system and the establishment of anti-dumping warning system are analyzed.Finally,this paper constructs an anti dumping early warning system,which takes the anti dumping of Chinese iron export to the US as an example,and carries out an empirical analysis and test,and gives some relevant policy suggestions.The research shows: first,trade relations between China and the United States are tense,and the export of Chinese steel products to the United States is especially unfair.The iron and steel industry is the vitality of the industrialized countries.The United States frequently took anti dumping measures to protect the development of domestic industry,which leads to the slump in the number of Chinese steel products exported to the United States,which seriously affects the development of steel enterprises in China.Therefore,this paper selects the iron and steel industry as the research object.Second,the BP neural network has a good performance in economic early warning.The average error in the single index prediction is less than 1% and theaccuracy rate of the alert report is up to 91% in the early warning of multiple indicators.The forecast in 2016 is basically consistent with the actual situation in the article,so the forecast in 2017 which is based on the single index prediction and the early warning of multiple indicators is trustworthy.