An improved shuffled frog leaping algorithm based evolutionary framework for currency exchange rate prediction
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DOI: 10.1016/j.physa.2017.05.044
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- Rajashree Dash & Pradipta Kishore Dash, 2016. "Prediction of Financial Time Series Data using Hybrid Evolutionary Legendre Neural Network: Evolutionary LENN," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 7(1), pages 16-32, January.
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Cited by:
- Tarun Kumar Sharma & Divya Prakash, 2020. "Air pollution emissions control using shuffled frog leaping algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 332-339, April.
- Fu, Sibao & Li, Yongwu & Sun, Shaolong & Li, Hongtao, 2019. "Evolutionary support vector machine for RMB exchange rate forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 692-704.
- Tripathi Manas & Kumar Saurabh & Inani Sarveshwar Kumar, 2021. "Exchange Rate Forecasting Using Ensemble Modeling for Better Policy Implications," Journal of Time Series Econometrics, De Gruyter, vol. 13(1), pages 43-71, January.
- Samuka Mohanty & Rajashree Dash, 2022. "Neural Network-Based Bitcoin Pricing Using a New Mutated Climb Monkey Algorithm with TOPSIS Analysis for Sustainable Development," Mathematics, MDPI, vol. 10(22), pages 1-23, November.
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Keywords
Neural network; Evolutionary technique; Shuffled frog leaping algorithm; FOREX prediction;All these keywords.
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