Convolutional Neural Networks, Image Recognition and Financial Time Series Forecasting

被引：2
|
作者：
Arratia, Argimiro [1 ]
Sepulveda, Eduardo
机构：
[1] Barcelona Tech UPC, Comp Sci, Barcelona, Spain
来源：
MINING DATA FOR FINANCIAL APPLICATIONS | 2020年 / 11985卷
关键词：
Convolutional Neural Networks; Recurrence plots; Time series; Forecasting;
D O I：
10.1007/978-3-030-37720-5_5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Convolutional Neural Networks (CNN) are best known as good image classifiers. This model is recently been used for financial forecasting. The purpose of this work is to show that by converting financial information into images and feeding these financial-image representation to the CNN, it results in an improvement in classification.
引用
收藏
页码：60 / 69
页数：10
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