MLA
Sen, Binayak, et al. "A Statistical Scrutiny of Three Prominent Machine-Learning Techniques to Forecast Machining Performance Parameters of Inconel 690." Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms, edited by Sujata Dash, et al., IGI Global, 2018, pp. 104-120. https://doi.org/10.4018/978-1-5225-2857-9.ch006
APA
Sen, B., Mandal, U. K., & Mondal, S. P. (2018). A Statistical Scrutiny of Three Prominent Machine-Learning Techniques to Forecast Machining Performance Parameters of Inconel 690. In S. Dash, B. Tripathy, & A. Rahman (Eds.), Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms (pp. 104-120). IGI Global. https://doi.org/10.4018/978-1-5225-2857-9.ch006
Chicago
Sen, Binayak, Uttam Kumar Mandal, and Sankar Prasad Mondal. "A Statistical Scrutiny of Three Prominent Machine-Learning Techniques to Forecast Machining Performance Parameters of Inconel 690." In Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms, edited by Sujata Dash, B.K. Tripathy, and Atta ur Rahman, 104-120. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2857-9.ch006
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