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A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return
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M. E. Bildirici Et Al. , "A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return," Fractal and Fractional , vol.8, no.7, 2024

Bildirici, M. E. Et Al. 2024. A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return. Fractal and Fractional , vol.8, no.7 .

Bildirici, M. E., Ucan, Y., & Tekercioglu, R., (2024). A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return. Fractal and Fractional , vol.8, no.7.

Bildirici, Melike, Yasemen UÇAN, And Ramazan TEKERCİOĞLU. "A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return," Fractal and Fractional , vol.8, no.7, 2024

Bildirici, Melike E. Et Al. "A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return." Fractal and Fractional , vol.8, no.7, 2024

Bildirici, M. E. Ucan, Y. And Tekercioglu, R. (2024) . "A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return." Fractal and Fractional , vol.8, no.7.

@article{article, author={Melike Elif BİLDİRİCİ Et Al. }, title={A Hybrid Approach Combining the Lie Method and Long Short-Term Memory (LSTM) Network for Predicting the Bitcoin Return}, journal={Fractal and Fractional}, year=2024}