A comparative study for stock market forecast based on a new machine learning model
This research aims at applying the Artificial Organic Network (AON), a nature-inspired,
supervised, metaheuristic machine learning framework, to develop a new algorithm based …
supervised, metaheuristic machine learning framework, to develop a new algorithm based …
Deep Learning-Based Stock Price Prediction: A Comprehensive Approach Using Bi-LSTM
This study delves into the prediction of stock prices in the Bangladesh stock market using
advanced deep learning frameworks, with a particular focus on the Bidirectional Long Short …
advanced deep learning frameworks, with a particular focus on the Bidirectional Long Short …
Traffic Flow Prediction: A Method Using Bagging-Based Ensemble Learning Model
X Cai, Q **, W Zhang - Science Journal of Applied Mathematics and …, 2024 - scijams.org
For the development of the national economy, transportation is strategically significant. As
the increasing ownership of automobiles, traffic jams are a common occurrence. Accurate …
the increasing ownership of automobiles, traffic jams are a common occurrence. Accurate …