中文摘要：

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.

英文摘要：

The neural network learning models was proposed, focusing on complexity and particularity of product sales in garment industry. The network model was established to predict the impact on garment sales on basis of factor analysis and optimized by using genetic algorithms for each connection weights of back propagation （BP） neural network. The method combines the strong learning ability of the BP neural and the global search capability of genetic algorithms.