基于PSO-BP神经网络的外贸发展状况的评价
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引用本文:刘冠宇.基于PSO-BP神经网络的外贸发展状况的评价[J].经济数学,2011,(4):105-110
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作者单位
刘冠宇 (北京外国语大学 西葡语系 北京100089) 
中文摘要:以我国对外贸易的实际情况为基础,建立了评价外贸发展状况的一套指标体系.使用主成分分析方法对所有评价指标进行预处理之后,借助粒子群优化算法改进了BP神经网络算法,构建了外贸发展状况的评价模型.评价模型在具体应用中,评价结果较为准确,具有一定的科学性和合理性.
中文关键词:外贸发展状况  评价  指标体系  PSO-BP神经网络
 
Assessment on Foreign Trade Development Situation Based on PSO-BP Neural Network
Abstract:A set of evaluation index system of foreign trade development was established based on the actual situation of Chinese foreign trade. After conducting pretreatment of all the evaluation indexes using principal component analysis, the author improves BP neural network with PSO to construct an evaluation model for foreign trade development.In specific application, the evaluation results derived from the model are more accurate, have some scientific and rationality.
keywords:foreign trade development situation  evaluation  index system  PSO-BP neural network
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