Application of Neural Networks to Studying the Impact of the Russian Central Bank's Monetary Policy

机译：神经网络在俄罗斯中央银行货币政策的影响研究中的应用

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The paper presents analysis of the Russian Federation's monetary policy. The Central Bank's key rate is an important parameter. It is hypothesized that the key rate (KR) could be predicted by means of artificial intelligence, a perceptron, the input of which is generated by neural-network quantization. Applying the results of such "smart" analysis to predicting the CBR key rate seems appropriate.

机译：本文提出了俄罗斯联邦货币政策的分析。中央银行的关键率是一个重要参数。假设键速率（KR）可以通过人工智能，意射来预测，这是由神经网络量化产生的。应用这种“智能”分析的结果预测CBR密钥率似乎是合适的。

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来源
《International Scientific Conference FarEastCon》|2018年|662-1337p|共4页
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N. I. Lomakin; O. A. Golodova; O. M. Burdyugova;
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原文格式 PDF
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中图分类 TB1-53;
关键词
Perceptron; Neural-network algorithm; Digital economy; Perceptron; The CBR rate; Prediction;

机译：感知;神经网络算法;数字经济;感知;CBR率;预言;
入库时间 2022-08-21 05:47:14

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Application of Neural Networks to Studying the Impact of the Russian Central Bank's Monetary Policy

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