A study on novel filtering and relationship between input-features and target-vectors in a deep learning model for stock price prediction-Reference-Cited by-同舟云学术

A study on novel filtering and relationship between input-features and target-vectors in a deep learning model for stock price prediction

Published:2018-10-09 Issue:3 Volume:49 Page:897-911
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Song Yoojeong,Lee Jae Won,Lee Jongwoo

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

http://link.springer.com/article/10.1007/s10489-018-1308-x/fulltext.html

Reference30 articles.

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4. Abadi M, Barham P, Chen J, Chen Z, Davis A, Dean J, Kudlur M (2016) Tensorflow: A system for large-scale machine learning. In OSDI 16:265–283

5. Song YJ, Lee JW (2017) A design and implementation of deep learning model for stock prediction using tensorflow. Korea Computer Congress 2017, pp 799–801

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