APA (7th ed.) Citation

Shaibani, M. J., Emamgholipour, S., & Moazeni, S. S. (2022). Investigation of robustness of hybrid artificial neural network with artificial bee colony and firefly algorithm in predicting COVID-19 new cases: Case study of Iran. Stochastic environmental research and risk assessment, 36(9), 2461-2476. https://doi.org/10.1007/s00477-021-02098-7

Chicago Style (17th ed.) Citation

Shaibani, Mohammad Javad, Sara Emamgholipour, and Samira Sadate Moazeni. "Investigation of Robustness of Hybrid Artificial Neural Network with Artificial Bee Colony and Firefly Algorithm in Predicting COVID-19 New Cases: Case Study of Iran." Stochastic Environmental Research and Risk Assessment 36, no. 9 (2022): 2461-2476. https://doi.org/10.1007/s00477-021-02098-7.

MLA (9th ed.) Citation

Shaibani, Mohammad Javad, et al. "Investigation of Robustness of Hybrid Artificial Neural Network with Artificial Bee Colony and Firefly Algorithm in Predicting COVID-19 New Cases: Case Study of Iran." Stochastic Environmental Research and Risk Assessment, vol. 36, no. 9, 2022, pp. 2461-2476, https://doi.org/10.1007/s00477-021-02098-7.