Empirical model for liquefaction resistance of soils based on artificial neural network learning of case histories

Keyphrases

• Liquefaction Resistance 100%
• Soil Resistance 100%
• Artificial Neural Network Learning 100%
• Artificial Neural Network 66%
• Neural Network Training 33%
• Neural Network 33%
• High Complexity 33%
• Piezocone Penetration Test 33%
• Liquefaction 33%
• Liquefaction Potential 33%
• Cyclic Stress Ratio 33%
• Geotechnical Problems 33%
• Pore Pressure 33%
• Limit State 33%
• CPTu 33%
• Feedforward Neural Network 33%
• Multi-parameter 33%
• Output Variable 33%
• Soil Reaction 33%
• Input Vector 33%
• Liquefaction Triggering 33%
• Behaviour Score 33%
• Three-input 33%
• Cone Resistance 33%
• Feed Forward Back Propagation Neural Network (FFBPNN) 33%
• Intended Model 33%
• Soil Behavior 33%
• Excess Pore Pressure Ratio 33%
• Pressure Parameters 33%
• Binary Field 33%

Engineering

• Empirical Model 100%
• Artificial Neural Network 100%
• Feedforward 40%
• Pressure Ratio 20%
• Cyclic Stress 20%
• Field Observation 20%
• Limit State 20%
• Input Vector 20%
• Excess Pore Pressure 20%
• Stress Ratio 20%
• Binary Variable 20%