The Application Of Neural Network Based On MATLAB In Imported And Exported Products Data

Since2012, the world economic recovery is slowing down, and the downward pressureis on the domestic economy. In the face of the complicated and severe economic situation athome and abroad, the Chinese government adhere to developing stably, and make theeconomy developing stably. The government should strengthen and improve macroeconomicregulation."China Statistical Yearbook" is a statistical data published by the National Bureau ofStatistics Press books. The book is very authoritative, which contains energy, trading,economic and other aspects. The book reflects the status quo of China’s social datainformation. From the information, it is possible to understand the development of China’scurrent economic forms, and the book can also provide a reference to China’s economic data.The research background of this article comes from foreign international trade. The datacomes from foreign trade section of the China Statistical Yearbook-2012, and we establishmodel for the data in this paper. The data object is International Business and Economics inChina Statistical Yearbook-2012. There are two types of data, the first one is the importedproducts model, and the second one is the exported products model.The main work of this paper is to establish the prediction model, and the predictionmodel is for the data of the import and export of products through the data from1988to2011.We establish the model by MATLAB, which is a tool for programming. We use the idea ofneural network in data mining.In this paper, we establish two forecast models to predict imported products and exportedproducts. Artificial neural networks are composed of interconnecting artificial neurons(programming constructs that mimic the properties of biological neurons) for solving artificialintelligence problems without creating a model of a real system. Neural network algorithmsabstract away the biological complexity by focusing on the most important information. Thegoal of artificial neural networks is good, or human-like, predictive ability.The neural network is an important data mining algorithm. This article uses the BPneural network, GRNN neural network and RBF neural network three neural network to predict imported products and exported products.In the experiment, we use multiple linear regression, BP neural network, GRNN neuralnetwork and RBF neural network to make prediction model, and from the results of differentalgorithms, we can find the RBF neural network is better than other algorithms.