Nguyen, Q.H.; Ly, H.-B.; Tran, V.Q.; Nguyen, T.-A.; Phan, V.-H.; Le, T.-T.; Pham, B.T.
A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns. Molecules 2020, 25, 3486.
https://doi.org/10.3390/molecules25153486
AMA Style
Nguyen QH, Ly H-B, Tran VQ, Nguyen T-A, Phan V-H, Le T-T, Pham BT.
A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns. Molecules. 2020; 25(15):3486.
https://doi.org/10.3390/molecules25153486
Chicago/Turabian Style
Nguyen, Quang Hung, Hai-Bang Ly, Van Quan Tran, Thuy-Anh Nguyen, Viet-Hung Phan, Tien-Thinh Le, and Binh Thai Pham.
2020. "A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns" Molecules 25, no. 15: 3486.
https://doi.org/10.3390/molecules25153486
APA Style
Nguyen, Q. H., Ly, H.-B., Tran, V. Q., Nguyen, T.-A., Phan, V.-H., Le, T.-T., & Pham, B. T.
(2020). A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns. Molecules, 25(15), 3486.
https://doi.org/10.3390/molecules25153486
