Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS
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DOI: 10.1371/journal.pone.0260847
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- Thuy-Anh Nguyen & Hai-Bang Ly & Binh Thai Pham, 2020. "Backpropagation Neural Network-Based Machine Learning Model for Prediction of Soil Friction Angle," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-11, December.
- Giuseppe Jurman & Samantha Riccadonna & Cesare Furlanello, 2012. "A Comparison of MCC and CEN Error Measures in Multi-Class Prediction," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-8, August.
- Hai-Bang Ly & Tien-Thinh Le & Huong-Lan Thi Vu & Van Quan Tran & Lu Minh Le & Binh Thai Pham, 2020. "Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams," Sustainability, MDPI, vol. 12(7), pages 1-34, March.
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