González Salcedo, L. O., Guerrero Zúñiga, A. P., Delvasto Arjonac, S., & Ernesto Willd, A. L. (2019). Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes. Ciencia e Ingenieria Neogranadina, 29(2), 37. https://doi.org/10.18359/rcin.3737
Chicago Style (17th ed.) CitationGonzález Salcedo, Luis Octavio, Aydee Patricia Guerrero Zúñiga, Silvio Delvasto Arjonac, and Adrián Luis Ernesto Willd. "Artificial Neural Model Based on Radial Basis Function Networks Used for Prediction of Compressive Strength of Fiber-reinforced Concrete Mixes." Ciencia E Ingenieria Neogranadina 29, no. 2 (2019): 37. https://doi.org/10.18359/rcin.3737.
MLA (9th ed.) CitationGonzález Salcedo, Luis Octavio, et al. "Artificial Neural Model Based on Radial Basis Function Networks Used for Prediction of Compressive Strength of Fiber-reinforced Concrete Mixes." Ciencia E Ingenieria Neogranadina, vol. 29, no. 2, 2019, p. 37, https://doi.org/10.18359/rcin.3737.