FORECASTING BITCOIN PRICES WITH THE ANFIS MODEL
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Dicle University
Reference50 articles.
1. Adjei, F. (2019). Determinants of bitcoin expected returns. Journal of finance and economics, 7(1), 42-47.
2. Aggarwal, D., Chandrasekaran, S., & Annamalai, B. (2020). A complete empirical ensemble mode decomposition and support vector machine-based approach to predict bitcoin prices. Journal of behavioral and experimental finance, 27, 100335.
3. Akyildirim, E., Goncu, A., & Sensoy, A. (2021). Prediction of cryptocurrency returns using machine learning. Annals of operations research, 297(1), 3-36.
4. Albariqi, R., & Winarko, E. (2020, February). Prediction of bitcoin price change using neural networks [Conference presentation]. International Conference on Smart Technology and Applications (ICoSTA), 1-4.
5. Altan, A., Karasu, S., & Bekiros, S. (2019). Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques. Chaos, solitons & fractals, 126, 325-336.
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