Cite

A novel approach for designing adaptive fuzzy classifiers based on the combination of an artificial immune network and a memetic algorithm.

MLA

Acilar, Ayşe Merve, and Ahmet Arslan. “A Novel Approach for Designing Adaptive Fuzzy Classifiers Based on the Combination of an Artificial Immune Network and a Memetic Algorithm.” Information Sciences, vol. 264, Apr. 2014, pp. 158–81. EBSCOhost, https://doi.org/10.1016/j.ins.2013.12.023.



APA

Acilar, A. M., & Arslan, A. (2014). A novel approach for designing adaptive fuzzy classifiers based on the combination of an artificial immune network and a memetic algorithm. Information Sciences, 264, 158–181. https://doi.org/10.1016/j.ins.2013.12.023



Chicago

Acilar, Ayşe Merve, and Ahmet Arslan. 2014. “A Novel Approach for Designing Adaptive Fuzzy Classifiers Based on the Combination of an Artificial Immune Network and a Memetic Algorithm.” Information Sciences 264 (April): 158–81. doi:10.1016/j.ins.2013.12.023.