Neuro evolutionary model for weld residual stress prediction
Modeling is done to predict weld quality using three intelligent tools. Performance is measured in terms of computational speed and accuracy. Results review that neural network trained with NNGAPSO outperforms other models. Developed model enhances industrial automation.
residual stress neural network finite element method genetic algorithm particle swarm optimization x-ray diffraction