论文标题
并发神经网络：时代系列之间的竞争模型
Concurrent Neural Network : A model of competition between times series
论文作者
论文摘要
销售预测，当时类似产品在市场上出售时，时代系列之间的竞争经常出现。本文提供了时代序列之间存在蚕丝化的模型。该模型创建了一个“竞争力”功能，取决于外部功能，例如价格和利润率。它还可以在某些合理条件下对模型的错误提供理论保证，并使用神经网络来计算这种竞争力函数。该实施的表现优于其他传统时间序列方法和经典的神经网络，用于现实世界数据集的市场份额预测。
Competition between times series often arises in sales prediction, when similar products are on sale on a marketplace. This article provides a model of the presence of cannibalization between times series. This model creates a "competitiveness" function that depends on external features such as price and margin. It also provides a theoretical guaranty on the error of the model under some reasonable conditions, and implement this model using a neural network to compute this competitiveness function. This implementation outperforms other traditional time series methods and classical neural networks for market share prediction on a real-world data set.
