Model for Evaluation of Stock Values by Ensemble Model Using Deep Learning-Reference-Cited by-同舟云学术

Model for Evaluation of Stock Values by Ensemble Model Using Deep Learning

Published:2018 Issue:1 Volume:33 Page:A-H51_1-11
ISSN:1346-0714
Container-title:Transactions of the Japanese Society for Artificial Intelligence
language:en
Short-container-title:Transactions of the Japanese Society for Artificial Intelligence

Author:

Tamura Koichiro¹,Uenoyama Katsuya¹,Iitsuka Shuhei¹,Matsuo Yutaka¹

Affiliation:

1. Department of Technology Management for Innovation, School of Engineering The University of Tokyo

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Link

https://www.jstage.jst.go.jp/article/tjsai/33/1/33_A-H51/_pdf

Reference18 articles.

1. [Bergstra 13] Bergstra, James and Yamins, Dan and Cox, David D: Hyperopt: A Python library for optimizing the hyperparameters of machine learning algorithms, in Proceedings of the 12th Python in Science Conference, pp. 13–20 Citeseer (2013)

2. [Brock 92] Brock, W., Lakonishok, J., and LeBaron, B.: Simple tech-nical trading rules and the stochastic properties of stock returns, The Journal of Finance, Vol. 47, No. 5, pp. 1731–1764 (1992)

3. [Cao 01] Cao, L. and Tay, F. E.: Financial forecasting using supportvector machines, Neural Computing & Applications, Vol. 10, No. 2, pp. 184–192 (2001)

4. [Chen 15] Chen, K., Zhou, Y., and Dai, F.: A LSTM-based method for stock returns prediction: A case study of China stock market, inBig Data (Big Data), 2015 IEEE International Conference on, pp.2823–2824IEEE (2015)

5. [Chen 16] Chen, T. and Guestrin, C.: Xgboost: A scalable tree boost-ing system, arXiv preprint arXiv:1603.02754 (2016)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Mechanism of Google Trends Affecting Crude Oil Price Forecasting;SN Computer Science;2022-05-18

2. Research on Modern Book Packaging Design under Aesthetic Evaluation Based on Deep Learning Model;Discrete Dynamics in Nature and Society;2021-11-08

3. Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods;Mathematics;2020-10-16

4. Convolutional neural networks on the HEALPix sphere: a pixel-based algorithm and its application to CMB data analysis;Astronomy & Astrophysics;2019-08