Application of artificial intelligence algorithms in stock market forecasting | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 15، دوره 14، شماره 2، اردیبهشت 2023، صفحه 167-174 اصل مقاله (835.01 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.26147.3287 | ||
| نویسندگان | ||
| Fahime Jahanian1؛ Seyyed Ali Paytakhti Oskooe* 2؛ Ahmad Mohammadi1؛ Aliasghar Mottaghi1 | ||
| 1Department of Accounting, Tabriz Branch, Islamic Azad University, Tabriz, Iran | ||
| 2Department of Economic, Tabriz Branch, Islamic Azad University, Tabriz, Iran | ||
| چکیده | ||
| New methods of machine learning in Artificial Intelligence (AI), changing the parameters and naturally finding the most logical and optimal solution possible based on what has been learned in the past, reducing the search space, reduce decision error. The use of these new methods of calculation, mathematics, and artificial intelligence has increased in recent years in the capital market, but most of the methods of portfolio construction are based on the traditional methods of the past and, of course, more in the category of asset classification. In this paper, most algorithms that had been used in other research are implemented and tested. The results of this research show that PSO (Particle Swarm Optimization) and GWO (Grey Wolf Optimizer) are the best algorithms for forecasting financial markets. Both algorithms have the same capability and show good results. | ||
| کلیدواژهها | ||
| Artificial Intelligence؛ machine learning؛ training algorithm؛ stock market forecast | ||
| مراجع | ||
|
| ||
|
آمار تعداد مشاهده مقاله: 17,373 تعداد دریافت فایل اصل مقاله: 11,387 |
||
| تعداد نشریات | 22 |
| تعداد شمارهها | 725 |
| تعداد مقالات | 10,474 |
| تعداد مشاهده مقاله | 73,442,158 |
| تعداد دریافت فایل اصل مقاله | 64,838,536 |