Artificial neural network for parameter identifications for an elasto-plastic model of superconducting cable under cyclic loading

Mathematics

• Cyclic Loading 100%
• Artificial Neural Network 81%
• Cable 80%
• Parameter Identification 79%
• Theoretical Model 78%
• Elasto-plastic 76%
• Experimental Data 32%
• Composite 28%
• Experiment 23%
• Interpretation 22%
• Model 20%
• Family 14%
• Graph in graph theory 14%

Engineering & Materials Science

• Superconducting cables 95%
• Identification (control systems) 56%
• Plastics 46%
• Neural networks 38%
• Composite materials 12%
• Experiments 7%

Chemistry

• Fibrous Crystal 63%
• Composite Material 31%
• Application 20%