A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms

This publication has 80 references indexed in Scilit:

• A Novel Machine Learning Approach for Detecting Outliers, Rebuilding Well Logs, and Enhancing Reservoir Characterization
  Natural Resources Research, 2023
• Metaheuristic optimization of Levenberg–Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength
  Neural Computing and Applications, 2021
• Integration of support vector regression and grey wolf optimization for estimating the ultimate bearing capacity in concrete-filled steel tube columns
  Neural Computing and Applications, 2021
• Evaluating the bond strength of FRP-to-concrete composite joints using metaheuristic-optimized least-squares support vector regression
  Neural Computing and Applications, 2020
• Prediction of shear strength for squat RC walls using a hybrid ANN–PSO model
  Engineering with Computers, 2017
• Experimental Study Regarding Shear Behavior of Concrete Walls Reinforced by Multiple Steel Profiles
  2017
• Reverse Cyclic Tests on High Performance Cement Concrete Shear Walls with Barbells
  2015
• Bat algorithm for constrained optimization tasks
  Neural Computing and Applications, 2012
• A New Metaheuristic Bat-Inspired Algorithm
  2010
• The Nature of Statistical Learning Theory
  1995