Learned prediction of compressive strength of GGBFS concrete using hybrid artificial neural network models

Keyphrases

• Artificial Neural Network Model 100%
• Ground Granulated Blast Furnace Slag (GGBFS) 100%
• Slag Concrete 100%
• Compressive Strength Prediction 100%
• Hybrid Artificial Neural Network 100%
• Compressive Strength 66%
• Particle Swarm Optimization 66%
• Back Propagation Algorithm 33%
• Prediction Accuracy 33%
• Learning Algorithm 33%
• Prediction Efficiency 33%
• Back-propagation Artificial Neural Network (BP-ANN) 33%
• Backpropagation 33%
• Hybrid Particle Swarm Optimization 33%
• Hybrid Algorithm 33%
• Synergistic Benefits 33%
• Stability Prediction 33%
• Hybrid Intelligent Systems 33%

Engineering

• Artificial Neural Network Model 100%
• Particle Swarm Optimization 100%
• Ground Granulated Blast Furnace Slag 100%
• Slag Concrete 100%
• Compression Strength 100%
• Compressive Strength 100%
• Learning Algorithm 33%
• Network Model 33%
• Backpropagation Algorithm 33%
• Artificial Neural Network 33%

Chemical Engineering

• Neural Network 100%