Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Baumann, Silas"'
This study investigates the impact of varying sequence lengths on the accuracy of predicting cryptocurrency returns using Artificial Neural Networks (ANNs). Utilizing the Mean Absolute Error (MAE) as a threshold criterion, we aim to enhance predictio
Externí odkaz:
http://arxiv.org/abs/2407.17930