Implementing deep neural networks for financial market prediction on the Intel Xeon Phi
Author:
Affiliation:
1. Stuart School of Business, Illinois Institute of Technology, Chicago, IL
2. Northwestern University, Evanston, IL
Funder
Intel Corporation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2830556.2830562
Reference13 articles.
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2. J. Faraway and C. Chatfield . Time series forecasting with neural networks: a comparative study using the air line data . Journal of the Royal Statistical Society : Series C (Applied Statistics) 47(2):231--250 1998 . J. Faraway and C. Chatfield. Time series forecasting with neural networks: a comparative study using the air line data. Journal of the Royal Statistical Society: Series C (Applied Statistics) 47(2):231--250 1998.
3. J. Jeffers and J. Reinders. Intel Xeon Phi Coprocessor High Performance Programming. Morgan Kaufmann Publishers Inc. San Francisco CA USA 1st edition 2013. ISBN 9780124104143 9780124104945. J. Jeffers and J. Reinders. Intel Xeon Phi Coprocessor High Performance Programming . Morgan Kaufmann Publishers Inc. San Francisco CA USA 1st edition 2013. ISBN 9780124104143 9780124104945.
4. Forecasting futures trading volume using neural networks
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