Author:
Das Smruti Rekha,Sahoo Bidush Kumar,Mishra Debahuti
Reference10 articles.
1. Lisi, F., Schiavo, R.A.: A comparison between neural networks and chaotic models for exchange rate prediction. Comput. Statis. Data Anal. 30(1), 87–102 (1999)
2. Huang, G.-B., Zhu, Q.-Y., Siew, C.-K.: Extreme learning machine: a new learning scheme of feedforward neural networks. Neural Netw. 2, 85–990 (2004)
3. Huang, G.-B., Zhu, Q.-Y., Siew, C.-K.: Extreme learning machine: theory and applications. Neurocomputing 70(1–3), 489–501 (2006)
4. Rao, R.V., Saroj, A.: An elitism-based self-adaptive multi-population Jaya algorithm and its applications. Soft Comput. 23(12), 4383–4406 (2019)
5. Das, S.R., Mishra, D., Rout, M.: A hybridized ELM using self-adaptive multi-population-based Jaya algorithm for currency exchange prediction: an empirical assessment. Neural Comput. Appl. 1–24 (2018)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Forex Analysis on USD to INR Conversion: A Comparative Analysis of Multiple Statistical and Machine Learning Algorithms;2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2024-01-18
2. CNN-RNN based Hybrid Machine Learning Model to Predict the Currency Exchange Rate: USD to INR;2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2022-04-28