Applicability of Financial System Using Deep Learning Techniques-Reference-Cited by-同舟云学术

Applicability of Financial System Using Deep Learning Techniques

Published:2020 Issue: Volume: Page:135-146
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Kumar Neeraj,Chauhan Ritu,Dubey Gaurav

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1518-7_11

Reference16 articles.

1. Huang, Wei, Yoshiteru Nakamori, and Shou-Yang Wang. 2005. Forecasting stock market movement direction with support vector machine. Computers and Operations Research 32 (10): 2513–2522.

2. Lin, Sangdi, and George C. Runger. 2018. GCRNN: group-constrained convolutional recurrent neural network. IEEE Transactions on Neural Networks and Learning Systems 29 (10): 4709–4718.

3. Lauretto, Marcelo S., B.C. Silva, and P.M. Andrade. 2013. Evaluation of a supervised learning approach for stock market operations. arXiv: 1301.4944 [Stat.ML].

4. Lee, Jae Won, Jonghun Park, O. Jangmin, Jongwoo Lee, and Euyseok Hong. 2007. A multiagent approach to Q-learning for daily stock trading. IEEE Transactions on Systems, MAN and Cybernetics—Part A: Systems and Humans 37 (6): 864–877.

5. Zhang, Liming, Na Liu, and Pengyi Yu. 2012. A novel instantaneous frequency algorithm and its application in stock index movement prediction. IEEE Journal of Selected Topics in Signal Processing 6 (4): 311–318.

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