Stock Prices Forecasting with LSTM Networks

被引：0

作者：

Vasyaeva, Tatyana ^{[1
]}

Martynenko, Tatyana ^{[1
]}

Khmilovyi, Sergii ^{[1
]}

Andrievskaya, Natalia ^{[1
]}

机构：

[1] Donetsk Natl Tech Univ, 58 Artem Str, Donetsk, Ukraine

来源：

ARTIFICIAL INTELLIGENCE: (RCAI 2019) | 2019年 / 1093卷

关键词：

Machine learning; Deep learning; Recurrent neural networks; Long short-term memory; Time series; Stock prices; NEURAL-NETWORKS;

D O I：

10.1007/978-3-030-30763-9_5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An application of deep neural networks was studied in the area of stock prices forecasting of pharmacies chain "36 and 6". The learning sample formation in the time series area was shown and a neural network architecture was proposed. The neural network for exchange trade forecasting using Python's Keras Library was developed and trained. The basic parameters setting of algorithm have been carried out.

引用

页码：59 / 69

页数：11

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