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基于Elman神经网络的商品销售额建模及预测
引用本文:刘道文,杨拥军. 基于Elman神经网络的商品销售额建模及预测[J]. 许昌学院学报, 2014, 33(5): 57-60
作者姓名:刘道文  杨拥军
作者单位:1. 许昌学院电气工程学院,河南许昌,461000
2. 河南中烟有限责任公司许昌卷烟厂,河南许昌,461000
基金项目:河南省教育厅科学技术研究重点项目,许昌市2013年度科技攻关项目
摘    要:为提高预测精度,采用Elman神经网络对商品销售额进行预测.在分析样本数据特性基础上,采用Elman神经网络对商品销售额的预测进行建模,通过实例验证模型的有效性并对比分析BP神经网络的预测效果.研究结果表明,基于Elman神经网络的商品销售额预测能够较好地反映商品销售额的变化趋势且提高了预测精度,验证了该方法在商品销售额预测中的可行性.

关 键 词:Elman神经网络  商品销售额  建模  预测

Commodity Sales Modeling and Prediction Based on Elman Neural Network
LIU Dao-wen,YANG Yong-jun. Commodity Sales Modeling and Prediction Based on Elman Neural Network[J]. Journal of Xuchang University, 2014, 33(5): 57-60
Authors:LIU Dao-wen  YANG Yong-jun
Affiliation:LIU Dao-wen;YANG Yong-jun;School of Electrical Engineering,Xuchang University;Henan Tobacco Industrial Co. Ltd.,Xuchang Cigarette Factory;
Abstract:In order to improve prediction accuracy, the Elman neural network is adopted to predict the sales of the goods in this study. After an analysis of the characteristics of the sample data, a model is created to predict the sales of goods by adopting the Elman neural network. The effectiveness of this model is further proved by a case study and a comparative study of the Elman neural system and BP neural network. Results show that prediction based on Elman neural network can better reflect the trend of commodity sales and is more accurate, which proves the feasibility of adopting this model in the prediction of commodity sales.
Keywords:Elman Neural Network  commodity sales  modeling  prediction
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