Predicting optimum parameters of a protective spur dike using soft computing methodologies: A comparative study

Keyphrases

• Adaptive Neural Network 20%
• Adaptive Neuro-fuzzy Inference System 20%
• Flow Intensity 20%
• Generalization Error Bound 20%
• Kernel Function 20%
• Least Squares Support Vector Regression (LSSVR) 100%
• Optimum Parameters 100%
• Polynomial Basis Functions 20%
• Prediction Accuracy 20%
• Prediction Model 40%
• Predictive Ability 20%
• Protective Spur Dike 100%
• Radial Basis Function 40%
• Soft Computing Techniques 100%
• Spur Dike 60%
• Training Error 20%

Engineering

• Error Bound 20%
• Error Polynomial 20%
• Experimental Result 20%
• Fuzzy System 20%
• Polynomial Basis Function 20%
• Radial Basis Function 40%
• Support Vector Machine 100%