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Foreign Trade Export Forecast Based on Fuzzy Neural Network

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  • Yang Liu
  • Zhihan Lv

Abstract

This article first analyzes the significance and methods of foreign trade export forecasting and determines the index system of foreign trade export forecasting by analyzing the results of foreign trade export forecasting research at home and abroad. Subsequently, the related concepts and principles of artificial neural network and fuzzy theory are explained, the types and training algorithms of the fuzzy neural network are introduced, and the neural network and fuzzy theory are combined to establish the prediction model. Finally, according to the characteristics of foreign trade exports, this article comprehensively considers the influence of various factors, applies the fuzzy neural network model to the foreign trade export forecast, introduces the whole process of the establishment of the fuzzy neural network forecasting model in detail, and predicts the change interval of foreign trade exports.

Suggested Citation

  • Yang Liu & Zhihan Lv, 2021. "Foreign Trade Export Forecast Based on Fuzzy Neural Network," Complexity, Hindawi, vol. 2021, pages 1-10, June.
    • Handle: RePEc:hin:complx:5523222
    DOI: 10.1155/2021/5523222
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    Cited by:

    1. Debin Ma & Jie Zhang & Ziyi Wang & Dongqi Sun, 2022. "Spatio-Temporal Evolution and Influencing Factors of Open Economy Development in the Yangtze River Delta Area," Land, MDPI, vol. 11(10), pages 1-24, October.

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