Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters.

MLA

Chen, Tzu-Chia, et al. “Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters.” Mapan, vol. 38, no. 1, Mar. 2023, pp. 119–31. EBSCOhost, https://doi.org/10.1007/s12647-022-00578-x.

APA

Chen, T.-C., Taylan, O., Alizadeh, S. M., Yilmaz, M. T., Nazemi, E., Balubaid, M., Roshani, G. H., & Karaboga, D. (2023). Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters. Mapan, 38(1), 119–131. https://doi.org/10.1007/s12647-022-00578-x

Chicago

Chen, Tzu-Chia, Osman Taylan, Seyed Mehdi Alizadeh, Mustafa Tahsin Yilmaz, Ehsan Nazemi, Mohammed Balubaid, Gholam Hossein Roshani, and Dervis Karaboga. 2023. “Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters.” Mapan 38 (1): 119–31. doi:10.1007/s12647-022-00578-x.