Cite
The Effect of Imbalanced Data and Parameter Selection via Genetic Algorithm Long Short-Term Memory (LSTM) for Financial Distress Prediction.
MLA
Adisa, Juliana Adeola, et al. “The Effect of Imbalanced Data and Parameter Selection via Genetic Algorithm Long Short-Term Memory (LSTM) for Financial Distress Prediction.” IAENG International Journal of Applied Mathematics, vol. 53, no. 3, Sept. 2023, pp. 796–809. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=asx&AN=170726692&authtype=sso&custid=ns315887.
APA
Adisa, J. A., Ojo, S., Owolawi, P. A., Pretorius, A., & Ojo, S. O. (2023). The Effect of Imbalanced Data and Parameter Selection via Genetic Algorithm Long Short-Term Memory (LSTM) for Financial Distress Prediction. IAENG International Journal of Applied Mathematics, 53(3), 796–809.
Chicago
Adisa, Juliana Adeola, Samuel Ojo, Pius Adewale Owolawi, Agnieta Pretorius, and Sunday Olusegun Ojo. 2023. “The Effect of Imbalanced Data and Parameter Selection via Genetic Algorithm Long Short-Term Memory (LSTM) for Financial Distress Prediction.” IAENG International Journal of Applied Mathematics 53 (3): 796–809. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=asx&AN=170726692&authtype=sso&custid=ns315887.