Publication2019
Development and performance analysis of fireworks algorithm-trained artificial neural network (FWANN): A case study on financial time series forecasting
The record
- Type
- Publication
- Date
- 27 December 2019
- Level
- National
- Journal
- Handbook of Research on Fireworks Algorithms and Swarm Intelligence
- Pages
- 176-194
- Published
- 27 December 2019
- DOI
- 10.4018/978-1-7998-1659-1.ch008
- Scopus ID
- 85108352535
- Authors
- 3
- Open access
- No
- Citations
- 7
- 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 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all
Fireworks algorithm-trained ANN achieves superior performance in financial time series forecasting for economic planning.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Metaheuristic optimization methodology represents research in swarm intelligence algorithms.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
AI and machine learning innovation supports digital technology advancement.
- 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. “Development and performance analysis of fireworks algorithm-trained artificial neural network (FWANN): A case study on financial time series forecasting”. Kortex.