KIESZEK, R., MAJCHER, M., SYTA, B., & KOZAKIEWICZ, A. (2024). FEED-FORWARD ARTIFICIAL NEURAL NETWORK AS SURROGATE MODEL TO PREDICT LIFT AND DRAG COEFFICIENT OF NACA AIRFOIL AND SEARCHING OF MAXIMUM LIFT-TO-DRAG RATIO. Journal of Theoretical & Applied Mechanics (14292955), 62(3), 521. https://doi.org/10.15632/jtam-pl/189805
Chicago Style (17th ed.) CitationKIESZEK, RAFAŁ, MACIEJ MAJCHER, BORYS SYTA, and ADAM KOZAKIEWICZ. "FEED-FORWARD ARTIFICIAL NEURAL NETWORK AS SURROGATE MODEL TO PREDICT LIFT AND DRAG COEFFICIENT OF NACA AIRFOIL AND SEARCHING OF MAXIMUM LIFT-TO-DRAG RATIO." Journal of Theoretical & Applied Mechanics (14292955) 62, no. 3 (2024): 521. https://doi.org/10.15632/jtam-pl/189805.
MLA (9th ed.) CitationKIESZEK, RAFAŁ, et al. "FEED-FORWARD ARTIFICIAL NEURAL NETWORK AS SURROGATE MODEL TO PREDICT LIFT AND DRAG COEFFICIENT OF NACA AIRFOIL AND SEARCHING OF MAXIMUM LIFT-TO-DRAG RATIO." Journal of Theoretical & Applied Mechanics (14292955), vol. 62, no. 3, 2024, p. 521, https://doi.org/10.15632/jtam-pl/189805.