Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida

MLA

Mohammad Zounemat-Kermani, et al. “Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida.” Applied Sciences, vol. 9, no. 12, June 2019, p. 2534. EBSCOhost, https://doi.org/10.3390/app9122534.

APA

Mohammad Zounemat-Kermani, Youngmin Seo, Sungwon Kim, Mohammad Ali Ghorbani, Saeed Samadianfard, Shabnam Naghshara, Nam Won Kim, & Vijay P. Singh. (2019). Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida. Applied Sciences, 9(12), 2534. https://doi.org/10.3390/app9122534

Chicago

Mohammad Zounemat-Kermani, Youngmin Seo, Sungwon Kim, Mohammad Ali Ghorbani, Saeed Samadianfard, Shabnam Naghshara, Nam Won Kim, and Vijay P. Singh. 2019. “Can Decomposition Approaches Always Enhance Soft Computing Models? Predicting the Dissolved Oxygen Concentration in the St. Johns River, Florida.” Applied Sciences 9 (12): 2534. doi:10.3390/app9122534.