因子分析与神经网络在出租车服务预测中的应用

N. Andriyanov
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引用次数: 0

摘要

在这项工作中,为了预测应用程序的成本,对出租车订购服务运行的多维数据进行了研究。结果表明,有可能挑出主要成分,在此基础上对初始数据集进行足够准确的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of factor analysis and neural networks for prediction in taxi service
In this work, a study of multidimensional data on the operation of a taxi ordering service was carried out in order to predict the cost of an application. It is shown that it is possible to single out the main components, on the basis of which a sufficiently accurate prediction with respect to the initial data set is possible.
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