The Academic Perspective Procedia publishes Academic Platform symposiums papers as three volumes in a year. DOI number is given to all of our papers.
Publisher : Academic Perspective

Journal DOI : 10.33793/acperpro
Journal eISSN : 2667-5862

Year :2020, Volume 3, Issue 1, Pages: 445-454
25.10.2020
Stock Pattern Classification from Charts using Deep Learning Algorithms
Celal Buğra Kaya, Alperen Yılmaz, Gizem Nur Uzun, Zeynep Hilal Kilimci,
36
11
Keywords: Pattern classification, stock patterns, convolutional neural networks, recurrent neural networks, long short term memory networks
Cite
  • BIBTEX
    @article{acperproISITES2020ID89, author={Kaya, Celal Buğra and Yılmaz, Alperen and Uzun, Gizem Nur and Kilimci, Zeynep Hilal}, title={Stock Pattern Classification from Charts using Deep Learning Algorithms}, journal={Academic Perspective Procedia}, eissn={2667-5862}, volume={3}, year=2020, pages={445-454}}
  • APA
    Kaya, C. , Yılmaz, A. , Uzun, G. , Kilimci, Z.. (2020). Stock Pattern Classification from Charts using Deep Learning Algorithms. Academic Perspective Procedia, 3 (1), 445-454. DOI: 10.33793/acperpro.03.01.89
  • ENDNOTE
    %0 Academic Perspective Procedia (ACPERPRO) Stock Pattern Classification from Charts using Deep Learning Algorithms% A Celal Buğra Kaya, Alperen Yılmaz, Gizem Nur Uzun, Zeynep Hilal Kilimci% T Stock Pattern Classification from Charts using Deep Learning Algorithms% D 25.10.2020% J Academic Perspective Procedia (ACPERPRO)% P 445-454% V 3% N 1% R doi: 10.33793/acperpro.03.01.89% U 10.33793/acperpro.03.01.89
© Academic Perspective 2018. All rights reserved.