60057

1948-

Ali Kaveh author

Springer

2024

1 online resource (xvi, 474 pages) illustrations (some color)

Studies in computational intelligence, 1860-9503 ; volume 1168

978-3-031-66051-1 , Includes bibliographical references , Artificial Intelligence Background, Applications an‎d Future -‎- Buckling Resistance Prediction of High Strength Steel Columns Using Metaheuristic Trained Artificial Neural Networks -‎- The Use of Artificial Neural Networks an‎d Metaheuristic Algorithms to Optimize the Compressive Strength of Concrete -‎- Design of Double Layer Grids Using Backpropagation Neural Networks -‎- Analysis of Double Layer Barrel Vaults Using Different Neural Networks -‎- BP an‎d RBF Neural Networks for Predicting Displacements an‎d Design of Schwedler dome -‎- Structural Optimization by Gradient Based Neural Networks -‎- Comparative Study of Backpropagation an‎d Improved Counter propagation Neural Nets in Structural Analysis an‎d Optimization -‎- Hybrid ECBO ANN Algorithm for Shear Strength of Partially Grouted Masonry Walls -‎- Shape Optimization of Arch Dams with Frequency Constraints by Enhanced Charged System Search Algorithm an‎d Neural Network -‎- Estimation of the Vulnerability of the Concrete Structures Using Artificial Neural Networks -‎- Efficient Training of Artificial Neural Networks Using Different Meta heuristic Algorithms for Predicting the FRP Strength -‎- A Metaheuristic Based Artificial Neural Network for Plastic Limit Analysis of Frames -‎- Wavefront Reduction Using Graphs, Neural Networks an‎d Genetic Algorithm -‎- Optimal Design of Transmission Towers Using Genetic Algorithm an‎d Neural Networks -‎- Stimating the Vulnerability of the Concrete Moment Resisting Frame Structures Using Artificial Neural Networks -‎- A Hybrid Graph Neural Method for Domain Decomposition -‎- GMDH based Prediction of Shear Strength of FRP RC Beams With an‎d Without Stirrups -‎- Efficient Training of Two ANNs Using Four Meta-heuristic Algorithms for Predicting the FRP Strength -‎- New Predictive Models for Prediction of Bond Strength Between FRP Reinforcements Externally Glued on Masonry Units -‎- Kernel Extreme Learning Machine Application in Prediction of Bond Strength Between EBR FRP an‎d Concrete Substrate -‎- Development of Predictive Models for Shear Strength of HSC Slender Beams Without Web Reinforcement Using Machine Learning Based Techniques

CO Ohio Library an‎d Information Network. , SE Studies in computational intelligence ; v. 1168. , TI

TA

347

.A78

2024