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基于遗传算法的BP神经网络服装销售预测方法

DOI: 10.13190/j.jbupt.2014.04.009, PP. 39-43

Keywords: 销售预测,遗传算法,后向传播神经网络

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Abstract:

针对服装企业产品销售的复杂性以及特殊性,提出一种有效的神经网络学习模型.在对服装销售影响因子分析的基础上建立销售预测网络模型,利用遗传算法对后向传播神经网络的各连接权值进行优化计算.方法综合了后向传播神经网格和遗传算法两者的优势,既具有神经网络强大的学习能力,又具有遗传算法的全局搜索能力.

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