%0 Journal Article
%T Prediction of saffron contract yield using the meta-heuristic algorithm
%J International Journal of Nonlinear Analysis and Applications
%I Semnan University
%Z 2008-6822
%A Farrokhi, Mahvash
%A Najafi Moghadam, Ali
%A Darabi, Roya
%D 2023
%\ 09/01/2023
%V 14
%N 9
%P 251-262
%! Prediction of saffron contract yield using the meta-heuristic algorithm
%K Saffron Binding Efficiencies
%K metaheuristic algorithm
%K Bird Algorithm
%K BAT Algorithm
%K Cuckoo algorithm
%R 10.22075/ijnaa.2022.7250
%X The main purpose of this study is to predict saffronâ€™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.
%U https://ijnaa.semnan.ac.ir/article_7250_40d5cb9e3934839508af1286c23dbe79.pdf