Optimizing NARX-RNN Performance to Predict Precious Metal Futures market-Reference-Cited by-同舟云学术

Optimizing NARX-RNN Performance to Predict Precious Metal Futures market

Published:2022-10-26 Issue: Volume: Page:
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Container-title:2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST)
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Author:

Stephanie ¹,Rengasamy Dhanuskodi¹,Juwono Filbert H.²,Nandong Jobrun³,Brennan Andrew J.⁴,Gopal Lenin⁵

Affiliation:

1. Curtin University Malaysia,Faculty of Business,Dept. of Acct., Finance, and Economics,Miri,Sarawak,Malaysia,98009

2. University of Southampton Malaysia,Computer Science Program,Nusajaya,Johor,Malaysia,79100

3. Curtin University Malaysia,Faculty of Engineering and Science,Dept. of Chemical and Energy Eng.,Miri,Sarawak,Malaysia,98009

4. Curtin University,Sch. of Acct., Economics, and Finance, Faculty of Business and Law,Bentley,Perth,Australia,6102

5. University of Southampton Malaysia,Dept. of Electrical and Electronic Eng.,Nusajaya,Johor,Malaysia,79100

Publisher

IEEE

Link

Reference66 articles.

3. Neural networks for option pricing and hedging: a literature review;ruf;IEEE Access,2020

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