A hybrid system with filter approach and multiple population genetic algorithm for feature selection in credit scoring.

MLA

Wang, Di, et al. “A Hybrid System with Filter Approach and Multiple Population Genetic Algorithm for Feature Selection in Credit Scoring.” Journal of Computational & Applied Mathematics, vol. 329, Feb. 2018, pp. 307–21. EBSCOhost, https://doi.org/10.1016/j.cam.2017.04.036.

APA

Wang, D., Zhang, Z., Bai, R., & Mao, Y. (2018). A hybrid system with filter approach and multiple population genetic algorithm for feature selection in credit scoring. Journal of Computational & Applied Mathematics, 329, 307–321. https://doi.org/10.1016/j.cam.2017.04.036

Chicago

Wang, Di, Zuoquan Zhang, Rongquan Bai, and Yanan Mao. 2018. “A Hybrid System with Filter Approach and Multiple Population Genetic Algorithm for Feature Selection in Credit Scoring.” Journal of Computational & Applied Mathematics 329 (February): 307–21. doi:10.1016/j.cam.2017.04.036.