Radial basis kernel harmony in neural networks for the analysis of MHD Williamson nanofluid flow with thermal radiation and chemical reaction: An evolutionary approach

MLA

Zeeshan Ikram Butt, et al. “Radial Basis Kernel Harmony in Neural Networks for the Analysis of MHD Williamson Nanofluid Flow with Thermal Radiation and Chemical Reaction: An Evolutionary Approach.” Alexandria Engineering Journal, vol. 103, no. 98–120, Sept. 2024, pp. 98–120. EBSCOhost, https://doi.org/10.1016/j.aej.2024.06.021.

APA

Zeeshan Ikram Butt, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Syed Ibrar Hussain, Muhammad Shoaib, & Hira Ilyas. (2024). Radial basis kernel harmony in neural networks for the analysis of MHD Williamson nanofluid flow with thermal radiation and chemical reaction: An evolutionary approach. Alexandria Engineering Journal, 103(98–120), 98–120. https://doi.org/10.1016/j.aej.2024.06.021

Chicago

Zeeshan Ikram Butt, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, Syed Ibrar Hussain, Muhammad Shoaib, and Hira Ilyas. 2024. “Radial Basis Kernel Harmony in Neural Networks for the Analysis of MHD Williamson Nanofluid Flow with Thermal Radiation and Chemical Reaction: An Evolutionary Approach.” Alexandria Engineering Journal 103 (98–120): 98–120. doi:10.1016/j.aej.2024.06.021.