APA (7th ed.) Citation

Machesa, M. G. K., Tartibu, L. K., & Okwu, M. O. (2023). Performance analysis of stirling engine using computational intelligence techniques (ANN & Fuzzy Mamdani Model) and hybrid algorithms (ANN-PSO & ANFIS). Neural computing & applications, 35(2), 1225-1245. https://doi.org/10.1007/s00521-022-07385-0

Chicago Style (17th ed.) Citation

Machesa, M. G. K., L. K. Tartibu, and M. O. Okwu. "Performance Analysis of Stirling Engine Using Computational Intelligence Techniques (ANN & Fuzzy Mamdani Model) and Hybrid Algorithms (ANN-PSO & ANFIS)." Neural Computing & Applications 35, no. 2 (2023): 1225-1245. https://doi.org/10.1007/s00521-022-07385-0.

MLA (9th ed.) Citation

Machesa, M. G. K., et al. "Performance Analysis of Stirling Engine Using Computational Intelligence Techniques (ANN & Fuzzy Mamdani Model) and Hybrid Algorithms (ANN-PSO & ANFIS)." Neural Computing & Applications, vol. 35, no. 2, 2023, pp. 1225-1245, https://doi.org/10.1007/s00521-022-07385-0.