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Prediction of saffron contract yield using the meta-heuristic algorithm | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 17، دوره 14، شماره 9، آذر 2023، صفحه 251-262 اصل مقاله (1.68 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.7250 | ||
| نویسندگان | ||
| Mahvash Farrokhi؛ Ali Najafi Moghadam* ؛ Roya Darabi | ||
| Department of Accounting, South Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| تاریخ دریافت: 22 شهریور 1401، تاریخ بازنگری: 01 آبان 1401، تاریخ پذیرش: 24 آذر 1401 | ||
| چکیده | ||
| The main purpose of this study is to predict saffron’s binding efficiency using the meta-heuristic algorithm. This collection of information is a documentary research library and the result is quantitative research. The time period from 2018 to 2021 was 5 years and the frequency of daily frequencies of the Ministry of Agricultural Jihad and Customs of Iran were collected from the Iran Mercantile Exchange (JPI). The meta-heuristic algorithm consisting of a combination of birds, bats, and cuckoos was designed. The proposed methods were modelled by coding in a MATLAB environment using normal data. The results of the computational analysis show that all models were approved; And the artificial neural network shows that price fluctuations, cash price, the volume of transactions and liquidity are of the most importance, respectively, on the yield of saffron contracts. | ||
| کلیدواژه‌ها | ||
| Saffron Binding Efficiencies؛ Metaheuristic Algorithm؛ Bird Algorithm؛ Bat Algorithm؛ Cuckoo Algorithm | ||
| مراجع | ||
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