Evaluating chaotic functions with flower pollination algorithm for modelling an optimized low complexity neural network based NAV predictor model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07257-8.pdf
Reference46 articles.
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3. Anish CM, Majhi B, Majhi R (2016) Development and evaluation of novel forecasting adaptive ensemble model. J Fin Data Sci 2(3):188–201
4. Arora S, Anand P (2017) Chaos-enhanced flower pollination algorithms for global optimization. J Intell Fuzzy Syst 33(6):3853–3869
5. Arora S, Anand P (2019) Chaotic grasshopper optimization algorithm for global optimization. Neural Comput Appl 31(8):4385–4405
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1. Evaluation of Innovation and Entrepreneurship Education for College Students Based on BP Neural Network;International Journal of Education and Information Technologies;2023-09-29
2. RVFLN-CDFPA: a random vector functional link neural network optimized using a chaotic differential flower pollination algorithm for day ahead Net Asset Value prediction;Evolving Systems;2023-04-20
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