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Interval approach of time series forecasting by neural networks for the decision support system

机译:决策支持系统的神经网络时间序列预测的区间方法

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The article is devoted to the new method of preparation of time series data and its prediction made by neural networks. A detailed analysis of the methodology and comparison of the results with ARIMA method carried out. A full table of initial data and forecasting results for the export of goods and services for 2021 accompanies the article.
机译:本文致力于时间序列数据的制备和神经网络预测的新方法。对该方法进行了详细分析,并与ARIMA方法进行了结果比较。文章随附了2021年货物和服务出口的初始数据和预测结果的完整表。

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