1. Autonomous Design of Reinforced Concrete Beams and Columns Based on Artificial Neural Networks 2. Understanding artificial neural networks (ANNs): analogy to the biological neuron model 3. Factors influencing network trainings 4. Forward and backpropagation for artificial neural networks 5. Training methods: designs based on training entire data (TED), parallel training method (PTM), chained training scheme (CTS), and chained training scheme with revised sequence (CRS) 6. Singly reinforced concrete beams based on artificial neural networks 7. Design of Doubly Reinforced Concrete Beams based on Artificial Neural Network 8. Design of reinforced columns based on artificial neural networks
APPENDIX A. Manual to use MATLAB for training artificial neural networks (ANNs) B. MATLAB code for Revise Scenario 4 of Table 8.3