Harnessing Dimensionality Reduction with Neutrosophic Net-RBF Neural Networks for Financial Distress Prediction.
T Hasanin - International Journal of Neutrosophic Science …, 2024 - search.ebscohost.com
Neutrosophy is the study of neutralities and extends the discussion of the truth of opinions.
Neutrosophic logic may be employed in any domain, for providing the solution for the …
Neutrosophic logic may be employed in any domain, for providing the solution for the …
Deep Reinforcement Learning in Stock Trading: Evaluating DDPG and DQN Strategies
N Kodurupaka, HM Basavadeepthi… - … on Emerging Smart …, 2024 - ieeexplore.ieee.org
This study presents a comparative analysis of the Deep Q-Network (DQN) and Deep
Deterministic Policy Gradient (DDPG) reinforcement learning algorithms in the context of …
Deterministic Policy Gradient (DDPG) reinforcement learning algorithms in the context of …
Machine Learning for Financial Crisis Prediction
J Voskamp - 2024 - macsphere.mcmaster.ca
We investigate the potential applications of using machine-learning models in financial crisis
prediction. We aim to identify crises one or two years ahead of their start dates by …
prediction. We aim to identify crises one or two years ahead of their start dates by …