Publication2019
A hybridized ELM using self-adaptive multi-population-based Jaya algorithm for currency exchange prediction: an empirical assessment
The record
- Type
- Publication
- Date
- 1 November 2019
- Level
- National
- Journal
- Neural Computing and Applications
- Volume
- 31
- Issue
- 11
- Pages
- 7071-7094
- Published
- 1 November 2019
- DOI
- 10.1007/s00521-018-3552-8
- Scopus ID
- 85047216125
- ISSN
- 09410643
- Authors
- 3
- Open access
- No
- Citations
- 23
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
8.1 Sustain per capita economic growth in accordance with national circumstances
Machine learning hybrid model combining extreme learning machines with self-adaptive Jaya optimization for currency exchange forecasting
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Financial forecasting algorithm research advancing digital technology for economic data prediction
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “A hybridized ELM using self-adaptive multi-population-based Jaya algorithm for currency exchange prediction: an empirical assessment”. Kortex.