计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 455-460.doi: 10.11896/j.issn.1002-137X.2016.11A.102
孟志青,马珂,郑英
MENG Zhi-qing, MA Ke and ZHENG Ying
摘要： 短生命周期的服装需求预测问题一直是服装品牌公司无法解决的问题,运用了非线性机器学习的核函数技术,提出了一个适合短生命周期时尚类服装的预测方法。结合服装公司的产品特征和服装数据仓库应用研究,建立了一种基于核函数技术的服装需求预测模型,提出了一个计算算法,通过实际数据进行了分析验证,结果表明所提出的方法对于时尚服装需求预测具有较高的动态预测精度,适合服装公司进行动态补货,对于品牌公司控制库存具有重要的实际意义。
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