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Oct, 2022
需求预测的多模态神经网络
Multimodal Neural Network For Demand Forecasting
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Nitesh Kumar, Kumar Dheenadayalan, Suprabath Reddy, Sumant Kulkarni
TL;DR
通过整合新闻详情中真实生活事件、历史销售数据、节假日信息以及Google Trends产品趋势数据,提出了一种多模式销售预测网络,该网络在超市实际数据集中比现有的销售预测技术具有统计显著性的改进,平均SMAPE误差率提高了7.37%。
Abstract
Demand forecasting applications have immensely benefited from the state-of-the-art
deep learning
methods used for
time series forecasting
. Traditional uni-modal models are predominantly seasonality driven which a
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