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基于遗传算法的神经网络销售量预测模型 被引量:3

Sales Forecast Model Based on Neural Network
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摘要 采用神经网络方法建立了销售量预测模型。以我国电视机销售量为实际预测对象 ,运用神经网络的进化学习方法对其进行了试验预测 ,并和常规的线性回归方法进行了比较。结果表明 。 A neural network-based sales forecast model is established.The neural network is learning through an evolutionary algorithm.It is tested on sales of television of China and compared with conventional method——linear regression. The results show that neural network method has more accuracy and higher prediction ability.
出处 《系统工程理论方法应用》 1998年第3期17-21,共5页 Systems Engineering Theory·Methodology·Applications
关键词 神经网络 进化算法 遗传算法 销售量预测模型 电视机 neural networks forecast evolutionary altorithm
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参考文献3

  • 1团体著者,中国统计年鉴,1995年
  • 2焦李成,神经网络系统理论,1992年
  • 3孙明玺,经济技术预测和评价,1984年

同被引文献23

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  • 4David C, Schmittlein, Robert A Peterson. Customer Base Analysis: An Customer Value[J]. Harvard Business Review, 1998, 卷(11): 53-67.
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  • 10秦佑国.统计能量分析应用于墙隔声的研究[J].声学学报,1982,7(4):106-10.

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