Exploiting the adaptive neural fuzzy inference system for predicting the effect of notch depth on elastic new strain-concentration factor under combined loading

Keyphrases

• Adaptive Neuro-fuzzy Inference System 100%
• Notch Depth 100%
• New Strain 100%
• Strain Concentration Factor 100%
• Combined Loading 100%
• Machine Learning Models 50%
• Pure Bending 50%
• Tension-bending 50%
• Bagged Tree 50%
• Static Tension 50%
• Prediction Accuracy 25%
• Artificial Neural Network 25%
• Novel Machine 25%
• Root Mean Square Error 25%
• Coefficient of Determination 25%
• Tree Model 25%
• Poisson's Ratio 25%
• Statistical Index 25%
• Tree Ensembles 25%
• U-notched 25%
• Notch Radius 25%
• Rectangular Bar 25%
• Fine Tree 25%
• Error Coefficient 25%
• Shallow Notch 25%
• Ensemble Boosted Trees 25%

Engineering

• Fuzzy Inference System 100%
• Strain Concentration Factor 100%
• Pure Bending 66%
• Shallower 33%
• Artificial Neural Network 33%
• Predicted Value 33%
• Root Mean Square Error 33%
• Model Tree 33%
• Single Edge 33%
• Poisson Ratio 33%