Forecasting Stock Market’s Performance Based on Grasshopper Optimized Hybrid Neural Network Method

Autor: Gupta, Sunil, Tyagi, Vikas, Aadil, Mir, Kumari, Neeraj

Publikováno v: International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 8s (2023): Advances on Machine Learning and Artificial Intelligence in Computer Technology; 164-170

Forecasting stock index prices is a key indicator that helps investors and financial analysts make better decisions that maximize profits while minimizing risks. In order to succeed, a robust engine with the capacity to distribute important informati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=issn21476799::f9a7a9a7af503282726b41ac96957021
https://www.ijisae.org/index.php/IJISAE/article/view/3036