A hybridized ELM using self-adaptive multi-population-based Jaya algorithm for currency exchange prediction: an empirical assessment-Reference-Cited by-同舟云学术

A hybridized ELM using self-adaptive multi-population-based Jaya algorithm for currency exchange prediction: an empirical assessment

Published:2018-05-21 Issue:11 Volume:31 Page:7071-7094
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Das Smruti Rekha,Mishra Debahuti,Rout Minakhi

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3552-8.pdf

Reference43 articles.

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3. Huang G-B, Zhu Q-Y, Siew C-K (2006) Extreme learning machine: theory and applications. Neurocomputing 70(1):489–501

4. Das SR, Mishra D, Rout M (2017) A hybridized ELM-Jaya forecasting model for currency exchange prediction. J King Saud Univ Comput Inf Sci. https://doi.org/10.1016/j.jksuci.2017.09.006

5. Rao R (2016) Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems. Int J Ind Eng Comput 7(1):19–34

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